---
title: "Mental Health Disorder Detection beyond Social — Puspo 2026"
description: "Most NLP work on automatically detecting mental health disorders is built on social media posts."
authors: ["Sadiya Sayara Chowdhury Puspo", "Ana-Maria Bucur", "Stevie Chancellor", "Özlem Uzuner", "Marcos Zampieri"]
year: 2026
venue: "Proceedings of the Fifteenth Language Resources and Evaluation Conference"
source: "https://aclanthology.org/2026.lrec-1.494/"
doi: "10.63317/32pcux3ahpau"
licence: "CC BY-NC 4.0 (ELRA, LREC proceedings)"
licence_url: "https://creativecommons.org/licenses/by-nc/4.0/"
summary_licence: "Elamur Cosmic License"
canonical: "https://research.elamur.ai/free/papers/puspo-2026-mental-health-disorder-detection-beyond/"
---
[Elamur Research](https://md.research.elamur.ai/) · [this page in HTML](https://research.elamur.ai/free/papers/puspo-2026-mental-health-disorder-detection-beyond/)

[home](https://md.research.elamur.ai/) / [papers](https://md.research.elamur.ai/free/papers/) / [2026](https://md.research.elamur.ai/free/papers/2026/page/3/) / Mental Health Disorder Detection beyond Social Media: A Systematic Review of Available Datasets

# Mental Health Disorder Detection beyond Social Media: A Systematic Review of Available Datasets

**Authors:** Sadiya Sayara Chowdhury Puspo, Ana-Maria Bucur, Stevie Chancellor, Özlem Uzuner, [Marcos Zampieri](https://md.research.elamur.ai/free/authors/marcos-zampieri/) · **Year:** 2026 · **Venue:** Proceedings of the Fifteenth Language Resources and Evaluation Conference · **Licence:** [CC BY-NC 4.0 (ELRA, LREC proceedings)](https://creativecommons.org/licenses/by-nc/4.0/)

**Links:** [Publisher's page](https://aclanthology.org/2026.lrec-1.494/) · [PDF](https://aclanthology.org/2026.lrec-1.494.pdf) · [DOI 10.63317/32pcux3ahpau](https://doi.org/10.63317/32pcux3ahpau) · [OpenAlex](https://openalex.org/W7160084880)

**Citations:** 0 citations (openalex-snapshot · 2026-10-14) · 2 in our library, of the 140673 papers whose bibliographies we read

## Summary
Most NLP work on automatically detecting mental health disorders is built on social media posts. That data has known problems: skewed user demographics, self-selection of people who discuss their condition openly, consent and privacy issues, and shrinking API access. This paper asks what free-text alternatives exist outside social media. It runs a PRISMA-guided systematic review of Google Scholar and PubMed via Publish or Perish, covering literature up to June 2025. The authors screened for new corpora, removed social-media, audio/visual-only and purely numeric datasets, and traced original dataset papers through citations. They ended with 45 datasets, which they compare by language, disorder, source platform, text type, annotation scheme and availability. The resource is skewed toward English and toward depression. Labeling practices are inconsistent and sometimes undocumented. The authors argue for multilingual resources, broader coverage of conditions, transparent annotation grounded in DSM/ICD criteria, and LLM-assisted labeling (CoT, CoE prompting). These would help build clinically credible detection models.

## Key points
- Screening funnel: 543 candidate papers became 259 after removing social-media studies, then 57 relevant papers (40 with new datasets). Backtracking added 5 more, giving 45 datasets published 2004–2025.
- English accounts for 62.2% of datasets and Chinese for 17.8%. The rest include Korean, Polish, Greek, Japanese, Arabic and code-mixed data.
- Covered conditions include depression (dominant), postnatal depression, anxiety, PTSD, schizophrenia, bipolar disorder and suicidal ideation.
- Text types include interview transcripts, EHR/EMR discharge summaries, clinical notes, essays, SMS, therapy dialogues and suicide notes. Availability ranges from public to DUA-restricted to unspecified, and more Chinese than English datasets are openly accessible.
- Dataset releases peaked in 2022, likely linked to post-COVID-19 attention to mental health. The dataset list is published on GitHub (SadiyaPuspo/MHD-Beyond-Social-Media-Datasets-Review).

*Our summary of the paper, in our own words — not its text. The work belongs to its authors; read it at the links above.*

Fields: [Linguistics & languages](https://md.research.elamur.ai/free/shelves/linguistics/)

## Cite

The paper itself, not this page. BibTeX from the library's record of the work.

```bibtex
@inproceedings{puspo2026mental,
  title = {{Mental Health Disorder Detection beyond Social Media: A Systematic Review of Available Datasets}},
  author = {Puspo, Sadiya Sayara Chowdhury and Bucur, Ana-Maria and Chancellor, Stevie and Uzuner, Özlem and Zampieri, Marcos},
  booktitle = {Proceedings of the Fifteenth Language Resources and Evaluation Conference},
  year = {2026},
  doi = {10.63317/32pcux3ahpau},
  url = {https://doi.org/10.63317/32pcux3ahpau}
}
```

- [← previous Memorization or Lucky Guesses: Detecting Short Sequences from Copyrighted Dutch News in LLM Output](https://md.research.elamur.ai/free/papers/veerbeek-2026-memorization-or-lucky-guesses-detecting/)
- [next → MesoTree: Annotated Linguistic Resources for Quantitative Comparative Linguistic Analysis and NLP in Mesoamerica](https://md.research.elamur.ai/free/papers/pugh-2026-mesotree-annotated-linguistic-resources-quantitative/)
- [↑ back to papers of 2026](https://md.research.elamur.ai/free/papers/2026/page/3/)

## References

122 references, 1 of them with a card of ours. ↗ leads to the work, «find» searches for one we have no id for yet.

1. Asma Abdulsalam and Areej Alhothali. 2024. Suicidal ideation detection on social media: A review of machine learning methods. Social Network Analysis and Mining, 14(1):188. [find](https://scholar.google.com/scholar?q=Asma+Abdulsalam+and+Areej+Alhothali%2E+2024%2E+Suicidal+ideation+detection+on+social+media%3A+A+review+of+machine+learning+methods%2E+Social+Network+Analysis+and+Mining%2C+14%281%29%3A188%2E)
2. Eman Adil Jaafar and Haya Abdul-Salam Jasim. 2022. A corpus-based stylistic analysis of online suicide notes retrieved from reddit. Cogent Arts & Humanities, 9(1):2047434. [find](https://scholar.google.com/scholar?q=Eman+Adil+Jaafar+and+Haya+Abdul%2DSalam+Jasim%2E+2022%2E+A+corpus%2Dbased+stylistic+analysis+of+online+suicide+notes+retrieved+from+reddit%2E+Cogent+Arts+%26+Humanities%2C+9%281%29%3A2047434%2E)
3. Ankit Aich, Avery Quynh, Varsha Badal, Amy Pinkham, Philip Harvey, Colin Depp, and Natalie Parde. 2022. Towards intelligent clinically-informed language analyses of people with bipolar disorder and schizophrenia. In Findings of EMNLP. [find](https://scholar.google.com/scholar?q=Ankit+Aich%2C+Avery+Quynh%2C+Varsha+Badal%2C+Amy+Pinkham%2C+Philip+Harvey%2C+Colin+Depp%2C+and+Natalie+Parde%2E+2022%2E+Towards+intelligent+clinically%2Dinformed+language+analyses+of+people+with+bipolar+disorder+and+sc)
4. Norah Saleh Alghamdi, Hanan A Hosni Mahmoud, Ajith Abraham, Samar Awadh Alanazi, and Laura García-Hernández. 2020. Predicting depression symptoms in an arabic psychological forum. IEEE access, 8:57317–57334. [find](https://scholar.google.com/scholar?q=Norah+Saleh+Alghamdi%2C+Hanan+A+Hosni+Mahmoud%2C+Ajith+Abraham%2C+Samar+Awadh+Alanazi%2C+and+Laura+Garc%C3%ADa%2DHern%C3%A1ndez%2E+2020%2E+Predicting+depression+symptoms+in+an+arabic+psychological+forum%2E+IEEE+access%2C+8%3A57317)
5. Alaa Althubaiti. 2016. Information bias in health research: definition, pitfalls, and adjustment methods. Journal of multidisciplinary healthcare, pages 211–217. [find](https://scholar.google.com/scholar?q=Alaa+Althubaiti%2E+2016%2E+Information+bias+in+health+research%3A+definition%2C+pitfalls%2C+and+adjustment+methods%2E+Journal+of+multidisciplinary+healthcare%2C+pages+211%E2%80%93217%2E)
6. APA. 1994. Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV). American Psychiatric Association. [find](https://scholar.google.com/scholar?q=APA%2E+1994%2E+Diagnostic+and+Statistical+Manual+of+Mental+Disorders%2C+Fourth+Edition+%28DSM%2DIV%29%2E+American+Psychiatric+Association%2E)
7. APA. 2013. Diagnostic and Statistical Manual of Mental Disorders, 5th ed. edition. American Psychiatric Publishing. [find](https://scholar.google.com/scholar?q=APA%2E+2013%2E+Diagnostic+and+Statistical+Manual+of+Mental+Disorders%2C+5th+ed%2E+edition%2E+American+Psychiatric+Publishing%2E)
8. Kaitlyn Arrow, Philip Resnik, Hanna Michel, Christopher Kitchen, Chen Mo, Shuo Chen, Carol Espy-Wilson, Glen Coppersmith, Colin Frazier, and Deanna L Kelly. 2023. Evaluating the use of online self-report questionnaires as clinically valid mental health monitoring tools in the clinical whitespace. Ps… [find](https://scholar.google.com/scholar?q=Kaitlyn+Arrow%2C+Philip+Resnik%2C+Hanna+Michel%2C+Christopher+Kitchen%2C+Chen+Mo%2C+Shuo+Chen%2C+Carol+Espy%2DWilson%2C+Glen+Coppersmith%2C+Colin+Frazier%2C+and+Deanna+L+Kelly%2E+2023%2E+Evaluating+the+use+of+online+self%2Drep)
9. Rahn K Bailey, Tejas C Patel, Jaymie Avenido, Mi-lapkumar Patel, Mohammad Jaleel, Narviar C Barker, Jahanzeb Ali Khan, Shahid All, and Shagufta Jabeen. 2011. Suicide: current trends. Journal of the National Medical Association, 103(7):614–617. [find](https://scholar.google.com/scholar?q=Rahn+K+Bailey%2C+Tejas+C+Patel%2C+Jaymie+Avenido%2C+Mi%2Dlapkumar+Patel%2C+Mohammad+Jaleel%2C+Narviar+C+Barker%2C+Jahanzeb+Ali+Khan%2C+Shahid+All%2C+and+Shagufta+Jabeen%2E+2011%2E+Suicide%3A+current+trends%2E+Journal+of+the+Na)
10. Ilya Baryshnikov, Tom Rosenström, Pekka Jylhä, Maria Vuorilehto, Mikael Holma, Irina Holma, Kirsi Riihimäki, Gregory K Brown, Maria A Oquendo, and Erkki T Isometsä. 2020. Role of hopelessness in suicidal ideation among patients with depressive disorders. The Journal of clinical psychiatry, 81(2):833… [find](https://scholar.google.com/scholar?q=Ilya+Baryshnikov%2C+Tom+Rosenstr%C3%B6m%2C+Pekka+Jylh%C3%A4%2C+Maria+Vuorilehto%2C+Mikael+Holma%2C+Irina+Holma%2C+Kirsi+Riihim%C3%A4ki%2C+Gregory+K+Brown%2C+Maria+A+Oquendo%2C+and+Erkki+T+Isomets%C3%A4%2E+2020%2E+Role+of+hopelessness+in+suici)
11. Aaron T Beck, Norman Epstein, Gary Brown, and Robert Steer. 1993. Beck anxiety inventory. Journal of consulting and clinical psychology. [find](https://scholar.google.com/scholar?q=Aaron+T+Beck%2C+Norman+Epstein%2C+Gary+Brown%2C+and+Robert+Steer%2E+1993%2E+Beck+anxiety+inventory%2E+Journal+of+consulting+and+clinical+psychology%2E)
12. Aaron T Beck and Robert A Steer. 1991. Manual for the beck scale for suicide ideation. San Antonio, TX: Psychological Corporation, 63. [find](https://scholar.google.com/scholar?q=Aaron+T+Beck+and+Robert+A+Steer%2E+1991%2E+Manual+for+the+beck+scale+for+suicide+ideation%2E+San+Antonio%2C+TX%3A+Psychological+Corporation%2C+63%2E)
13. Aaron T Beck, Robert A Steer, and Gregory Brown. 1996. Beck depression inventory–ii. Psychological assessment. [find](https://scholar.google.com/scholar?q=Aaron+T+Beck%2C+Robert+A+Steer%2C+and+Gregory+Brown%2E+1996%2E+Beck+depression+inventory%E2%80%93ii%2E+Psychological+assessment%2E)
14. Dudley David Blake, Frank W Weathers, Linda M Nagy, Danny G Kaloupek, Fred D Gusman, Dennis S Charney, and Terence M Keane. 1995. The development of a clinician-administered ptsd scale. Journal of traumatic stress, 8:75–90. [find](https://scholar.google.com/scholar?q=Dudley+David+Blake%2C+Frank+W+Weathers%2C+Linda+M+Nagy%2C+Danny+G+Kaloupek%2C+Fred+D+Gusman%2C+Dennis+S+Charney%2C+and+Terence+M+Keane%2E+1995%2E+The+development+of+a+clinician%2Dadministered+ptsd+scale%2E+Journal+of+tra)
15. Nick Boettcher. 2021. Studies of depression and anxiety using reddit as a data source: scoping review. JMIR mental health, 8(11):e29487. [find](https://scholar.google.com/scholar?q=Nick+Boettcher%2E+2021%2E+Studies+of+depression+and+anxiety+using+reddit+as+a+data+source%3A+scoping+review%2E+JMIR+mental+health%2C+8%2811%29%3Ae29487%2E)
16. Ryan L Boyd, Ashwini Ashokkumar, Sarah Seraj, and James W Pennebaker. 2022. The development and psychometric properties of liwc-22. Austin, TX: University of Texas at Austin, 10(1-47):6. [find](https://scholar.google.com/scholar?q=Ryan+L+Boyd%2C+Ashwini+Ashokkumar%2C+Sarah+Seraj%2C+and+James+W+Pennebaker%2E+2022%2E+The+development+and+psychometric+properties+of+liwc%2D22%2E+Austin%2C+TX%3A+University+of+Texas+at+Austin%2C+10%281%2D47%29%3A6%2E)
17. Ana-Maria Bucur, Andreea Moldovan, Krutika Parvatikar, Marcos Zampieri, Ashiqur Khudabukhsh, and Liviu P Dinu. 2025a. Datasets for depression modeling in social media: An overview. In Proceedings of CLPsych. [find](https://scholar.google.com/scholar?q=Ana%2DMaria+Bucur%2C+Andreea+Moldovan%2C+Krutika+Parvatikar%2C+Marcos+Zampieri%2C+Ashiqur+Khudabukhsh%2C+and+Liviu+P+Dinu%2E+2025a%2E+Datasets+for+depression+modeling+in+social+media%3A+An+overview%2E+In+Proceedings+of+C)
18. Ana-Maria Bucur, Andreea-Codrina Moldovan, Krutika Parvatikar, Marcos Zampieri, Ashiqur R. KhudaBukhsh, and Liviu P. Dinu. 2025b. On the state of nlp approaches to modeling depression in social media: A post-covid-19 outlook. IEEE Journal of Biomedical and Health Informatics, 29(6):4439–4451. [find](https://scholar.google.com/scholar?q=Ana%2DMaria+Bucur%2C+Andreea%2DCodrina+Moldovan%2C+Krutika+Parvatikar%2C+Marcos+Zampieri%2C+Ashiqur+R%2E+KhudaBukhsh%2C+and+Liviu+P%2E+Dinu%2E+2025b%2E+On+the+state+of+nlp+approaches+to+modeling+depression+in+social+media%3A)
19. Ana-Maria Bucur, Marcos Zampieri, Tharindu Ranasinghe, and Fabio Crestani. 2026. A survey on multilingual mental disorders detection from social media data. In Proceedings of EACL. [find](https://scholar.google.com/scholar?q=Ana%2DMaria+Bucur%2C+Marcos+Zampieri%2C+Tharindu+Ranasinghe%2C+and+Fabio+Crestani%2E+2026%2E+A+survey+on+multilingual+mental+disorders+detection+from+social+media+data%2E+In+Proceedings+of+EACL%2E)
20. Roberto Wellington Acuña Caicedo, José Manuel Gómez Soriano, and Héctor Andrés Melgar Sasieta. 2020. Assessment of supervised classifiers for the task of detecting messages with suicidal ideation. Heliyon, 6(8). [find](https://scholar.google.com/scholar?q=Roberto+Wellington+Acu%C3%B1a+Caicedo%2C+Jos%C3%A9+Manuel+G%C3%B3mez+Soriano%2C+and+H%C3%A9ctor+Andr%C3%A9s+Melgar+Sasieta%2E+2020%2E+Assessment+of+supervised+classifiers+for+the+task+of+detecting+messages+with+suicidal+ideation%2E+Hel)
21. Rafael A Calvo, David N Milne, M Sazzad Hussain, and Helen Christensen. 2017. Natural language processing in mental health applications using non-clinical texts. Natural Language Engineering, 23(5):649–685. [find](https://scholar.google.com/scholar?q=Rafael+A+Calvo%2C+David+N+Milne%2C+M+Sazzad+Hussain%2C+and+Helen+Christensen%2E+2017%2E+Natural+language+processing+in+mental+health+applications+using+non%2Dclinical+texts%2E+Natural+Language+Engineering%2C+23%285%29%3A64)
22. Yuchen Cao, Jianglai Dai, Zhongyan Wang, Yeyubei Zhang, Xiaorui Shen, Yunchong Liu, and Yexin Tian. 2024. Machine learning approaches for mental illness detection on social media: A systematic review of biases and methodological challenges. arXiv preprint arXiv:2410.16204. — [arXiv:2410.16204](https://arxiv.org/abs/2410.16204) [find](https://scholar.google.com/scholar?q=Yuchen+Cao%2C+Jianglai+Dai%2C+Zhongyan+Wang%2C+Yeyubei+Zhang%2C+Xiaorui+Shen%2C+Yunchong+Liu%2C+and+Yexin+Tian%2E+2024%2E+Machine+learning+approaches+for+mental+illness+detection+on+social+media%3A+A+systematic+review+)
23. Centers for Disease Control and Prevention. 2025. Suicidal thoughts and behavior. [https://www.cdc.gov/mental-health/about-data/suicidal-thoughts-and-behavior.html](https://www.cdc.gov/mental-health/about-data/suicidal-thoughts-and-behavior.html). Accessed 22 February 2026. [↗](https://www.cdc.gov/mental-health/about-data/suicidal-thoughts-and-behavior.html)
24. Stevie Chancellor, Eric PS Baumer, and Munmun De Choudhury. 2019a. Who is the" human" in human-centered machine learning: The case of predicting mental health from social media. Proceedings of the ACM on Human-Computer Interaction, 3(CSCW):1–32. [find](https://scholar.google.com/scholar?q=Stevie+Chancellor%2C+Eric+PS+Baumer%2C+and+Munmun+De+Choudhury%2E+2019a%2E+Who+is+the%22+human%22+in+human%2Dcentered+machine+learning%3A+The+case+of+predicting+mental+health+from+social+media%2E+Proceedings+of+the+ACM)
25. Stevie Chancellor, Michael L Birnbaum, Eric D Caine, Vincent MB Silenzio, and Munmun De Choudhury. 2019b. A taxonomy of ethical tensions in inferring mental health states from social media. In Proceedings of FACCT. [find](https://scholar.google.com/scholar?q=Stevie+Chancellor%2C+Michael+L+Birnbaum%2C+Eric+D+Caine%2C+Vincent+MB+Silenzio%2C+and+Munmun+De+Choudhury%2E+2019b%2E+A+taxonomy+of+ethical+tensions+in+inferring+mental+health+states+from+social+media%2E+In+Proceed)
26. Stevie Chancellor and Munmun De Choudhury. 2020. Methods in predictive techniques for mental health status on social media: a critical review. NPJ digital medicine, 3(1):43. [find](https://scholar.google.com/scholar?q=Stevie+Chancellor+and+Munmun+De+Choudhury%2E+2020%2E+Methods+in+predictive+techniques+for+mental+health+status+on+social+media%3A+a+critical+review%2E+NPJ+digital+medicine%2C+3%281%29%3A43%2E)
27. Moumita Chatterjee, Poulomi Samanta, Piyush Kumar, and Dhrubasish Sarkar. 2022. Suicide ideation detection using multiple feature analysis from twitter data. In IEEE DELCON. [find](https://scholar.google.com/scholar?q=Moumita+Chatterjee%2C+Poulomi+Samanta%2C+Piyush+Kumar%2C+and+Dhrubasish+Sarkar%2E+2022%2E+Suicide+ideation+detection+using+multiple+feature+analysis+from+twitter+data%2E+In+IEEE+DELCON%2E)
28. Glen Coppersmith, Casey Hilland, Ophir Frieder, and Ryan Leary. 2017. Scalable mental health analysis in the clinical whitespace via natural language processing. In IEEE BHI. [find](https://scholar.google.com/scholar?q=Glen+Coppersmith%2C+Casey+Hilland%2C+Ophir+Frieder%2C+and+Ryan+Leary%2E+2017%2E+Scalable+mental+health+analysis+in+the+clinical+whitespace+via+natural+language+processing%2E+In+IEEE+BHI%2E)
29. John L Cox, Jeni M Holden, and Ruth Sagovsky. 1987. Detection of postnatal depression: development of the 10-item edinburgh postnatal depression scale. The British journal of psychiatry, 150(6):782–786. [find](https://scholar.google.com/scholar?q=John+L+Cox%2C+Jeni+M+Holden%2C+and+Ruth+Sagovsky%2E+1987%2E+Detection+of+postnatal+depression%3A+development+of+the+10%2Ditem+edinburgh+postnatal+depression+scale%2E+The+British+journal+of+psychiatry%2C+150%286%29%3A782%E2%80%9378)
30. Mario Cruz, Debra L Roter, Robyn F Cruz, Melissa Wieland, Susan Larson, Lisa A Cooper, and Harold Alan Pincus. 2013. Appointment length, psychiatrists’ communication behaviors, and medication management appointment adherence. Psychiatric Services, 64(9):886–892. [find](https://scholar.google.com/scholar?q=Mario+Cruz%2C+Debra+L+Roter%2C+Robyn+F+Cruz%2C+Melissa+Wieland%2C+Susan+Larson%2C+Lisa+A+Cooper%2C+and+Harold+Alan+Pincus%2E+2013%2E+Appointment+length%2C+psychiatrists%E2%80%99+communication+behaviors%2C+and+medication+manageme)
31. Janet R Cummings, Hefei Wen, and Benjamin G Druss. 2013. Improving access to mental health services for youth in the united states. Jama, 309(6):553–554. [find](https://scholar.google.com/scholar?q=Janet+R+Cummings%2C+Hefei+Wen%2C+and+Benjamin+G+Druss%2E+2013%2E+Improving+access+to+mental+health+services+for+youth+in+the+united+states%2E+Jama%2C+309%286%29%3A553%E2%80%93554%2E)
32. Joachim Diederich, Aqeel Al-Ajmi, and Peter Yellowlees. 2007. Ex-ray: Data mining and mental health. Applied Soft Computing, 7(3):923–928. [find](https://scholar.google.com/scholar?q=Joachim+Diederich%2C+Aqeel+Al%2DAjmi%2C+and+Peter+Yellowlees%2E+2007%2E+Ex%2Dray%3A+Data+mining+and+mental+health%2E+Applied+Soft+Computing%2C+7%283%29%3A923%E2%80%93928%2E)
33. Alicia Figueroa-Barra, Daniel Del Aguila, Mauricio Cerda, Pablo A Gaspar, Lucas D Terissi, Manuel Durán, and Camila Valderrama. 2022. Automatic language analysis identifies and predicts schizophrenia in first-episode of psychosis. Schizophrenia, 8(1):53. [find](https://scholar.google.com/scholar?q=Alicia+Figueroa%2DBarra%2C+Daniel+Del+Aguila%2C+Mauricio+Cerda%2C+Pablo+A+Gaspar%2C+Lucas+D+Terissi%2C+Manuel+Dur%C3%A1n%2C+and+Camila+Valderrama%2E+2022%2E+Automatic+language+analysis+identifies+and+predicts+schizophrenia+)
34. Muskan Garg. 2023. Mental health analysis in social media posts: a survey. Archives of Computational Methods in Engineering, 30(3):1819. [find](https://scholar.google.com/scholar?q=Muskan+Garg%2E+2023%2E+Mental+health+analysis+in+social+media+posts%3A+a+survey%2E+Archives+of+Computational+Methods+in+Engineering%2C+30%283%29%3A1819%2E)
35. Joseph Geraci, Pamela Wilansky, Vincenzo de Luca, Anvesh Roy, James L Kennedy, and John Strauss. 2017. Applying deep neural networks to unstructured text notes in electronic medical records for phenotyping youth depression. BMJ Ment Health, 20(3):83–87. [find](https://scholar.google.com/scholar?q=Joseph+Geraci%2C+Pamela+Wilansky%2C+Vincenzo+de+Luca%2C+Anvesh+Roy%2C+James+L+Kennedy%2C+and+John+Strauss%2E+2017%2E+Applying+deep+neural+networks+to+unstructured+text+notes+in+electronic+medical+records+for+phenot)
36. Sayan Ghosh, Dylan Baker, David Jurgens, and Vinodkumar Prabhakaran. 2021. Detecting cross-geographic biases in toxicity modeling on social media. In Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021), pages 313–328, Online. Association for Computational Linguistics. [find](https://scholar.google.com/scholar?q=Sayan+Ghosh%2C+Dylan+Baker%2C+David+Jurgens%2C+and+Vinodkumar+Prabhakaran%2E+2021%2E+Detecting+cross%2Dgeographic+biases+in+toxicity+modeling+on+social+media%2E+In+Proceedings+of+the+Seventh+Workshop+on+Noisy+User%2D)
37. Soumitra Ghosh, Asif Ekbal, and Pushpak Bhattacharyya. 2020. Cease, a corpus of emotion annotated suicide notes in english. In Proceedings of LREC. [find](https://scholar.google.com/scholar?q=Soumitra+Ghosh%2C+Asif+Ekbal%2C+and+Pushpak+Bhattacharyya%2E+2020%2E+Cease%2C+a+corpus+of+emotion+annotated+suicide+notes+in+english%2E+In+Proceedings+of+LREC%2E)
38. Maria J Grant and Andrew Booth. 2009. A typology of reviews: an analysis of 14 review types and associated methodologies. Health information & libraries journal, 26(2):91–108. [find](https://scholar.google.com/scholar?q=Maria+J+Grant+and+Andrew+Booth%2E+2009%2E+A+typology+of+reviews%3A+an+analysis+of+14+review+types+and+associated+methodologies%2E+Health+information+%26+libraries+journal%2C+26%282%29%3A91%E2%80%93108%2E)
39. Jonathan Gratch, Ron Artstein, Gale Lucas, Giota Stratou, Stefan Scherer, Angela Nazarian, Rachel Wood, Jill Boberg, David DeVault, Stacy Marsella, David Traum, Skip Rizzo, and Louis-Philippe Morency. 2014. The distress analysis interview corpus of human and computer interviews. In Proceedings of LR… [find](https://scholar.google.com/scholar?q=Jonathan+Gratch%2C+Ron+Artstein%2C+Gale+Lucas%2C+Giota+Stratou%2C+Stefan+Scherer%2C+Angela+Nazarian%2C+Rachel+Wood%2C+Jill+Boberg%2C+David+DeVault%2C+Stacy+Marsella%2C+David+Traum%2C+Skip+Rizzo%2C+and+Louis%2DPhilippe+Morency%2E)
40. Mika Hämäläinen, Pattama Patpong, Khalid Alnajjar, Niko Partanen, and Jack Rueter. Detecting depression in Thai blog posts: a dataset and a baseline. In Proceedings of W-NUT. [find](https://scholar.google.com/scholar?q=Mika+H%C3%A4m%C3%A4l%C3%A4inen%2C+Pattama+Patpong%2C+Khalid+Alnajjar%2C+Niko+Partanen%2C+and+Jack+Rueter%2E+Detecting+depression+in+Thai+blog+posts%3A+a+dataset+and+a+baseline%2E+In+Proceedings+of+W%2DNUT%2E)
41. Keith Harrigian, Carlos Aguirre, and Mark Dredze. 2021. On the state of social media data for mental health research. In Proceedings of CLPsych. [find](https://scholar.google.com/scholar?q=Keith+Harrigian%2C+Carlos+Aguirre%2C+and+Mark+Dredze%2E+2021%2E+On+the+state+of+social+media+data+for+mental+health+research%2E+In+Proceedings+of+CLPsych%2E)
42. Qiwei He, Bernard P Veldkamp, Cees AW Glas, and Theo de Vries. 2017. Automated assessment of patients’ self-narratives for posttraumatic stress disorder screening using natural language processing and text mining. Assessment, 24(2):157–172. [find](https://scholar.google.com/scholar?q=Qiwei+He%2C+Bernard+P+Veldkamp%2C+Cees+AW+Glas%2C+and+Theo+de+Vries%2E+2017%2E+Automated+assessment+of+patients%E2%80%99+self%2Dnarratives+for+posttraumatic+stress+disorder+screening+using+natural+language+processing+and)
43. Ronald D Hester. 2017. Lack of access to mental health services contributing to the high suicide rates among veterans. International journal of mental health systems, 11(1):47. [find](https://scholar.google.com/scholar?q=Ronald+D+Hester%2E+2017%2E+Lack+of+access+to+mental+health+services+contributing+to+the+high+suicide+rates+among+veterans%2E+International+journal+of+mental+health+systems%2C+11%281%29%3A47%2E)
44. Misato Hiraga. 2017. Predicting depression for japanese blog text. In Proceedings of ACL. [find](https://scholar.google.com/scholar?q=Misato+Hiraga%2E+2017%2E+Predicting+depression+for+japanese+blog+text%2E+In+Proceedings+of+ACL%2E)
45. Christine Howes, Matthew Purver, and Rose Mc-Cabe. 2014. Linguistic indicators of severity and progress in online text-based therapy for depression. In Proceedings of CLPsych. [find](https://scholar.google.com/scholar?q=Christine+Howes%2C+Matthew+Purver%2C+and+Rose+Mc%2DCabe%2E+2014%2E+Linguistic+indicators+of+severity+and+progress+in+online+text%2Dbased+therapy+for+depression%2E+In+Proceedings+of+CLPsych%2E)
46. Thomas D Hull, Matteo Malgaroli, Philippa S Connolly, Seth Feuerstein, and Naomi M Simon. 2020. Two-way messaging therapy for depression and anxiety: longitudinal response trajectories. BMC psychiatry, 20(1):297. [find](https://scholar.google.com/scholar?q=Thomas+D+Hull%2C+Matteo+Malgaroli%2C+Philippa+S+Connolly%2C+Seth+Feuerstein%2C+and+Naomi+M+Simon%2E+2020%2E+Two%2Dway+messaging+therapy+for+depression+and+anxiety%3A+longitudinal+response+trajectories%2E+BMC+psychiatry)
47. Institute for Health Metrics and Evaluation. 2024. Global burden of disease study 2021 (gbd 2021) results. [https://vizhub.healthdata.org/gbd-results/](https://vizhub.healthdata.org/gbd-results/). Online database. Seattle, WA. Accessed 13 August 2025. [↗](https://vizhub.healthdata.org/gbd-results/)
48. Md Rafiqul Islam, Muhammad Ashad Kabir, Ashir Ahmed, Abu Raihan M Kamal, Hua Wang, and Anwaar Ulhaq. 2018. Depression detection from social network data using machine learning techniques. Health information science and systems, 6:1–12. [find](https://scholar.google.com/scholar?q=Md+Rafiqul+Islam%2C+Muhammad+Ashad+Kabir%2C+Ashir+Ahmed%2C+Abu+Raihan+M+Kamal%2C+Hua+Wang%2C+and+Anwaar+Ulhaq%2E+2018%2E+Depression+detection+from+social+network+data+using+machine+learning+techniques%2E+Health+infor)
49. Julia Ive, Paulina Bondaronek, Vishal Yadav, Daniel Santel, Tracy Glauser, Tina Cheng, Jeffrey R Strawn, Greeshma Agasthya, Jordan Tschida, Sanghyun Choo, et al. 2024. A data-centric approach to detecting and mitigating demographic bias in pediatric mental health text: A case study in anxiety detect… — [arXiv:2501.00129](https://arxiv.org/abs/2501.00129) [find](https://scholar.google.com/scholar?q=Julia+Ive%2C+Paulina+Bondaronek%2C+Vishal+Yadav%2C+Daniel+Santel%2C+Tracy+Glauser%2C+Tina+Cheng%2C+Jeffrey+R+Strawn%2C+Greeshma+Agasthya%2C+Jordan+Tschida%2C+Sanghyun+Choo%2C+et+al%2E+2024%2E+A+data%2Dcentric+approach+to+detec)
50. Richard G Jackson, Rashmi Patel, Nishamali Jayatilleke, Anna Kolliakou, Michael Ball, Genevieve Gorrell, Angus Roberts, Richard J Dobson, and Robert Stewart. 2017. Natural language processing to extract symptoms of severe mental illness from clinical text: the clinical record interactive search comp… [find](https://scholar.google.com/scholar?q=Richard+G+Jackson%2C+Rashmi+Patel%2C+Nishamali+Jayatilleke%2C+Anna+Kolliakou%2C+Michael+Ball%2C+Genevieve+Gorrell%2C+Angus+Roberts%2C+Richard+J+Dobson%2C+and+Robert+Stewart%2E+2017%2E+Natural+language+processing+to+extra)
51. Yueqi Jiang, Ziyang Zhang, and Xiao Sun. 2022. Mmda: A multimodal dataset for depression and anxiety detection. In Proceedings of ICPR. [find](https://scholar.google.com/scholar?q=Yueqi+Jiang%2C+Ziyang+Zhang%2C+and+Xiao+Sun%2E+2022%2E+Mmda%3A+A+multimodal+dataset+for+depression+and+anxiety+detection%2E+In+Proceedings+of+ICPR%2E)
52. Martin B Keller, Philip W Lavori, Barbara Friedman, Eileen Nielsen, Jean Endicott, Pat McDonald-Scott, and Nancy C Andreasen. 1987. The longitudinal interval follow-up evaluation: A comprehensive method for assessing outcome in prospective longitudinal studies. Archives of general psychiatry, 44(6):… [find](https://scholar.google.com/scholar?q=Martin+B+Keller%2C+Philip+W+Lavori%2C+Barbara+Friedman%2C+Eileen+Nielsen%2C+Jean+Endicott%2C+Pat+McDonald%2DScott%2C+and+Nancy+C+Andreasen%2E+1987%2E+The+longitudinal+interval+follow%2Dup+evaluation%3A+A+comprehensive+meth)
53. D Sami Khafaga, Maheshwari Auvdaiappan, K Deepa, Mohamed Abouhawwash, and F Khalid Karim. 2023. Deep learning for depression detection using twitter data. Intelligent Automation & Soft Computing, 36(2):1301–1313. [find](https://scholar.google.com/scholar?q=D+Sami+Khafaga%2C+Maheshwari+Auvdaiappan%2C+K+Deepa%2C+Mohamed+Abouhawwash%2C+and+F+Khalid+Karim%2E+2023%2E+Deep+learning+for+depression+detection+using+twitter+data%2E+Intelligent+Automation+%26+Soft+Computing%2C+36%282)
54. Tamar Krishnamurti, Kristen Allen, Laila Hayani, Samantha Rodriguez, and Alexander L Davis. 2022. Identification of maternal depression risk from natural language collected in a mobile health app. Procedia computer science, 206:132–140. [find](https://scholar.google.com/scholar?q=Tamar+Krishnamurti%2C+Kristen+Allen%2C+Laila+Hayani%2C+Samantha+Rodriguez%2C+and+Alexander+L+Davis%2E+2022%2E+Identification+of+maternal+depression+risk+from+natural+language+collected+in+a+mobile+health+app%2E+Pro)
55. Kurt Kroenke, Robert L Spitzer, and Janet BW Williams. 2001. The phq-9: validity of a brief depression severity measure. Journal of general internal medicine, 16(9):606–613. [find](https://scholar.google.com/scholar?q=Kurt+Kroenke%2C+Robert+L+Spitzer%2C+and+Janet+BW+Williams%2E+2001%2E+The+phq%2D9%3A+validity+of+a+brief+depression+severity+measure%2E+Journal+of+general+internal+medicine%2C+16%289%29%3A606%E2%80%93613%2E)
56. Kurt Kroenke, Tara W Strine, Robert L Spitzer, Janet BW Williams, Joyce T Berry, and Ali H Mokdad. 2009. The phq-8 as a measure of current depression in the general population. Journal of Affective Disorders, 114(1-3):163–173. [find](https://scholar.google.com/scholar?q=Kurt+Kroenke%2C+Tara+W+Strine%2C+Robert+L+Spitzer%2C+Janet+BW+Williams%2C+Joyce+T+Berry%2C+and+Ali+H+Mokdad%2E+2009%2E+The+phq%2D8+as+a+measure+of+current+depression+in+the+general+population%2E+Journal+of+Affective+Di)
57. Yoon Kyung Lee, Inju Lee, Minjung Shin, Seoyeon Bae, and Sowon Hahn. 2023. Chain of empathy: Enhancing empathetic response of large language models based on psychotherapy models. arXiv preprint arXiv:2311.04915. — [arXiv:2311.04915](https://arxiv.org/abs/2311.04915) [find](https://scholar.google.com/scholar?q=Yoon+Kyung+Lee%2C+Inju+Lee%2C+Minjung+Shin%2C+Seoyeon+Bae%2C+and+Sowon+Hahn%2E+2023%2E+Chain+of+empathy%3A+Enhancing+empathetic+response+of+large+language+models+based+on+psychotherapy+models%2E+arXiv+preprint+arXiv%3A)
58. Tim MH Li, Jie Chen, Framenia OC Law, Chun-Tung Li, Ngan Yin Chan, Joey WY Chan, Steven WH Chau, Yaping Liu, Shirley Xin Li, Jihui Zhang, et al. 2023. Detection of suicidal ideation in clinical interviews for depression using natural language processing and machine learning: cross-sectional study. J… [find](https://scholar.google.com/scholar?q=Tim+MH+Li%2C+Jie+Chen%2C+Framenia+OC+Law%2C+Chun%2DTung+Li%2C+Ngan+Yin+Chan%2C+Joey+WY+Chan%2C+Steven+WH+Chau%2C+Yaping+Liu%2C+Shirley+Xin+Li%2C+Jihui+Zhang%2C+et+al%2E+2023%2E+Detection+of+suicidal+ideation+in+clinical+interv)
59. Lu-Shih Alex Low, Namunu C Maddage, Margaret Lech, Lisa B Sheeber, and Nicholas B Allen. 2010. Detection of clinical depression in adolescents’ speech during family interactions. IEEE transactions on biomedical engineering, 58(3):574–586. [find](https://scholar.google.com/scholar?q=Lu%2DShih+Alex+Low%2C+Namunu+C+Maddage%2C+Margaret+Lech%2C+Lisa+B+Sheeber%2C+and+Nicholas+B+Allen%2E+2010%2E+Detection+of+clinical+depression+in+adolescents%E2%80%99+speech+during+family+interactions%2E+IEEE+transactions+on+)
60. Frances L Lynch, Edward L Peterson, Christine Y Lu, Yong Hu, Rebecca C Rossom, Beth E Wait-zfelder, Ashli A Owen-Smith, Samuel Hubley, Deepak Prabhakar, L Keoki Williams, et al. 2020. Substance use disorders and risk of suicide in a general us population: a case control study. Addiction science & cl… [find](https://scholar.google.com/scholar?q=Frances+L+Lynch%2C+Edward+L+Peterson%2C+Christine+Y+Lu%2C+Yong+Hu%2C+Rebecca+C+Rossom%2C+Beth+E+Wait%2Dzfelder%2C+Ashli+A+Owen%2DSmith%2C+Samuel+Hubley%2C+Deepak+Prabhakar%2C+L+Keoki+Williams%2C+et+al%2E+2020%2E+Substance+use+di)
61. Kaining Mao, Deborah Baofeng Wang, Tiansheng Zheng, Rongqi Jiao, Yanhui Zhu, Bin Wu, Lei Qian, Wei Lyu, Jie Chen, and Minjie Ye. 2023. Analysis of automated clinical depression diagnosis in a chinese corpus. IEEE Transactions on Biomedical Circuits and Systems, 17(5):1135– 1152. [find](https://scholar.google.com/scholar?q=Kaining+Mao%2C+Deborah+Baofeng+Wang%2C+Tiansheng+Zheng%2C+Rongqi+Jiao%2C+Yanhui+Zhu%2C+Bin+Wu%2C+Lei+Qian%2C+Wei+Lyu%2C+Jie+Chen%2C+and+Minjie+Ye%2E+2023%2E+Analysis+of+automated+clinical+depression+diagnosis+in+a+chinese+)
62. Ruth Ann Marrie, Lesley Graff, John R Walker, John D Fisk, Scott B Patten, Carol A Hitchon, Lisa M Lix, James Bolton, Jitender Sareen, Alan Katz, et al. 2018. Effects of psychiatric comorbidity in immune-mediated inflammatory disease: protocol for a prospective study. JMIR Research Protocols, 7(1):e… [find](https://scholar.google.com/scholar?q=Ruth+Ann+Marrie%2C+Lesley+Graff%2C+John+R+Walker%2C+John+D+Fisk%2C+Scott+B+Patten%2C+Carol+A+Hitchon%2C+Lisa+M+Lix%2C+James+Bolton%2C+Jitender+Sareen%2C+Alan+Katz%2C+et+al%2E+2018%2E+Effects+of+psychiatric+comorbidity+in+imm)
63. Louis S Matza, Robert Morlock, Chris Sexton, Karen Malley, and Douglas Feltner. 2010. Identifying ham-a cutoffs for mild, moderate, and severe generalized anxiety disorder. International journal of methods in psychiatric research, 19(4):223–232. [find](https://scholar.google.com/scholar?q=Louis+S+Matza%2C+Robert+Morlock%2C+Chris+Sexton%2C+Karen+Malley%2C+and+Douglas+Feltner%2E+2010%2E+Identifying+ham%2Da+cutoffs+for+mild%2C+moderate%2C+and+severe+generalized+anxiety+disorder%2E+International+journal+of+me)
64. Yiwen Meng, William Speier, Michael Ong, and Corey W. Arnold. 2021. Hcet: Hierarchical clinical embedding with topic modeling on electronic health records for predicting future depression. IEEE Journal of Biomedical and Health Informatics, 25(4):1265–1272. [find](https://scholar.google.com/scholar?q=Yiwen+Meng%2C+William+Speier%2C+Michael+Ong%2C+and+Corey+W%2E+Arnold%2E+2021%2E+Hcet%3A+Hierarchical+clinical+embedding+with+topic+modeling+on+electronic+health+records+for+predicting+future+depression%2E+IEEE+Journa)
65. David N Milne, Glen Pink, Ben Hachey, and Rafael A Calvo. 2016. [find](https://scholar.google.com/scholar?q=David+N+Milne%2C+Glen+Pink%2C+Ben+Hachey%2C+and+Rafael+A+Calvo%2E+2016%2E)
66. Clpsych 2016 shared task: Triaging content in online peer-support forums. In Proceedings of the third workshop on computational linguistics and clinical psychology, pages 118–127. [find](https://scholar.google.com/scholar?q=Clpsych+2016+shared+task%3A+Triaging+content+in+online+peer%2Dsupport+forums%2E+In+Proceedings+of+the+third+workshop+on+computational+linguistics+and+clinical+psychology%2C+pages+118%E2%80%93127%2E)
67. Haimiao Mo, Siu Cheung Hui, Xiao Liao, Yuchen Li, Wei Zhang, and Shuai Ding. 2024. A multimodal data-driven framework for anxiety screening. IEEE Transactions on Instrumentation and Measurement, 73:1–13. [find](https://scholar.google.com/scholar?q=Haimiao+Mo%2C+Siu+Cheung+Hui%2C+Xiao+Liao%2C+Yuchen+Li%2C+Wei+Zhang%2C+and+Shuai+Ding%2E+2024%2E+A+multimodal+data%2Ddriven+framework+for+anxiety+screening%2E+IEEE+Transactions+on+Instrumentation+and+Measurement%2C+73%3A1%E2%80%93)
68. Matthew Mulholland and Joanne Quinn. Suicidal tendencies: The automatic classification of suicidal and non-suicidal lyricists using nlp. In Proceedings of IJCNLP. [find](https://scholar.google.com/scholar?q=Matthew+Mulholland+and+Joanne+Quinn%2E+Suicidal+tendencies%3A+The+automatic+classification+of+suicidal+and+non%2Dsuicidal+lyricists+using+nlp%2E+In+Proceedings+of+IJCNLP%2E)
69. Matthias J. Müller, Hubertus Himmerich, Barbara Kienzle, and Armin Szegedi. 2003. Differentiating moderate and severe depression using the montgomery–Åsberg depression rating scale (madrs). Journal of Affective Disorders, 77(3):255–260. [find](https://scholar.google.com/scholar?q=Matthias+J%2E+M%C3%BCller%2C+Hubertus+Himmerich%2C+Barbara+Kienzle%2C+and+Armin+Szegedi%2E+2003%2E+Differentiating+moderate+and+severe+depression+using+the+montgomery%E2%80%93%C3%85sberg+depression+rating+scale+%28madrs%29%2E+Journal+of)
70. Thin Nguyen, Dinh Phung, Bo Dao, Svetha Venkatesh, and Michael Berk. 2014. Affective and content analysis of online depression communities. IEEE Transactions on Affective Computing, 5(3):217–226. [find](https://scholar.google.com/scholar?q=Thin+Nguyen%2C+Dinh+Phung%2C+Bo+Dao%2C+Svetha+Venkatesh%2C+and+Michael+Berk%2E+2014%2E+Affective+and+content+analysis+of+online+depression+communities%2E+IEEE+Transactions+on+Affective+Computing%2C+5%283%29%3A217%E2%80%93226%2E)
71. Jennifer Nicholas, Sandersan Onie, and Mark E Larsen. 2020. Ethics and privacy in social media research for mental health. Current psychiatry reports, 22:1–7. [find](https://scholar.google.com/scholar?q=Jennifer+Nicholas%2C+Sandersan+Onie%2C+and+Mark+E+Larsen%2E+2020%2E+Ethics+and+privacy+in+social+media+research+for+mental+health%2E+Current+psychiatry+reports%2C+22%3A1%E2%80%937%2E)
72. Alicia L Nobles, Jeffrey J Glenn, Kamran Kowsari, Bethany A Teachman, and Laura E Barnes. 2018. Identification of imminent suicide risk among young adults using text messages. In Proceedings of CHI. [find](https://scholar.google.com/scholar?q=Alicia+L+Nobles%2C+Jeffrey+J+Glenn%2C+Kamran+Kowsari%2C+Bethany+A+Teachman%2C+and+Laura+E+Barnes%2E+2018%2E+Identification+of+imminent+suicide+risk+among+young+adults+using+text+messages%2E+In+Proceedings+of+CHI%2E)
73. Jihoon Oh, Taekgyu Lee, Eun Su Chung, Hyon-soo Kim, Kyongchul Cho, Hyunkyu Kim, Jihye Choi, Hyeon-Hee Sim, Jongseo Lee, In Young Choi, et al. 2024. Development of depression detection algorithm using text scripts of routine psychiatric interview. Frontiers in psychiatry, 14:1256571. [find](https://scholar.google.com/scholar?q=Jihoon+Oh%2C+Taekgyu+Lee%2C+Eun+Su+Chung%2C+Hyon%2Dsoo+Kim%2C+Kyongchul+Cho%2C+Hyunkyu+Kim%2C+Jihye+Choi%2C+Hyeon%2DHee+Sim%2C+Jongseo+Lee%2C+In+Young+Choi%2C+et+al%2E+2024%2E+Development+of+depression+detection+algorithm+using+)
74. Alexandra Olteanu, Carlos Castillo, Fernando Diaz, and Emre Kıcıman. 2019. Social data: Biases, methodological pitfalls, and ethical boundaries. Frontiers in big data, 2:13. [find](https://scholar.google.com/scholar?q=Alexandra+Olteanu%2C+Carlos+Castillo%2C+Fernando+Diaz%2C+and+Emre+K%C4%B1c%C4%B1man%2E+2019%2E+Social+data%3A+Biases%2C+methodological+pitfalls%2C+and+ethical+boundaries%2E+Frontiers+in+big+data%2C+2%3A13%2E)
75. Matthew J Page, Joanne E McKenzie, Patrick M Bossuyt, Isabelle Boutron, Tammy C Hoffmann, Cynthia D Mulrow, Larissa Shamseer, Jennifer M Tetzlaff, Elie A Akl, Sue E Brennan, et al. 2021. The prisma 2020 statement: an updated guideline for reporting systematic reviews. bmj, 372. [find](https://scholar.google.com/scholar?q=Matthew+J+Page%2C+Joanne+E+McKenzie%2C+Patrick+M+Bossuyt%2C+Isabelle+Boutron%2C+Tammy+C+Hoffmann%2C+Cynthia+D+Mulrow%2C+Larissa+Shamseer%2C+Jennifer+M+Tetzlaff%2C+Elie+A+Akl%2C+Sue+E+Brennan%2C+et+al%2E+2021%2E+The+prisma+20)
76. Michelle Pazdur, Dunja Tutus, and Ann-Christin Haag. 2025. Risk factors for problematic social media use in youth: A systematic review of longitudinal studies. Adolescent Research Review, pages 1–17. [find](https://scholar.google.com/scholar?q=Michelle+Pazdur%2C+Dunja+Tutus%2C+and+Ann%2DChristin+Haag%2E+2025%2E+Risk+factors+for+problematic+social+media+use+in+youth%3A+A+systematic+review+of+longitudinal+studies%2E+Adolescent+Research+Review%2C+pages+1%E2%80%9317%2E)
77. John Pestian, Henry Nasrallah, Pawel Matykiewicz, Aurora Bennett, and Antoon Leenaars. 2010. Suicide note classification using natural language processing: A content analysis. Biomedical informatics insights, 3:BII–S4706. [find](https://scholar.google.com/scholar?q=John+Pestian%2C+Henry+Nasrallah%2C+Pawel+Matykiewicz%2C+Aurora+Bennett%2C+and+Antoon+Leenaars%2E+2010%2E+Suicide+note+classification+using+natural+language+processing%3A+A+content+analysis%2E+Biomedical+informatics+i)
78. John P Pestian, Pawel Matykiewicz, Michelle Linn-Gust, Brett South, Ozlem Uzuner, Jan Wiebe, K Bretonnel Cohen, John Hurdle, and Christopher Brew. 2012. Sentiment analysis of suicide notes: A shared task. Biomedical informatics insights, 5:BII–S9042. [find](https://scholar.google.com/scholar?q=John+P+Pestian%2C+Pawel+Matykiewicz%2C+Michelle+Linn%2DGust%2C+Brett+South%2C+Ozlem+Uzuner%2C+Jan+Wiebe%2C+K+Bretonnel+Cohen%2C+John+Hurdle%2C+and+Christopher+Brew%2E+2012%2E+Sentiment+analysis+of+suicide+notes%3A+A+shared+t)
79. Richard J. Porter, Will Moot, Maree L. Inder, Marie T. Crowe, Katie M. Douglas, Janet D. Carter, and Christopher Frampton. 2022. Validation of the longitudinal interval follow-up evaluation for the long-term measurement of mood symptoms in bipolar disorder. Brain Sciences, 12(12). [find](https://scholar.google.com/scholar?q=Richard+J%2E+Porter%2C+Will+Moot%2C+Maree+L%2E+Inder%2C+Marie+T%2E+Crowe%2C+Katie+M%2E+Douglas%2C+Janet+D%2E+Carter%2C+and+Christopher+Frampton%2E+2022%2E+Validation+of+the+longitudinal+interval+follow%2Dup+evaluation+for+the+lo)
80. Chris Poulin, Brian Shiner, Paul Thompson, Linas Vepstas, Yinong Young-Xu, Benjamin Goertzel, Bradley Watts, Laura Flashman, and Thomas McAllister. 2014. Predicting the risk of suicide by analyzing the text of clinical notes. PloS one, 9(1):e85733. [find](https://scholar.google.com/scholar?q=Chris+Poulin%2C+Brian+Shiner%2C+Paul+Thompson%2C+Linas+Vepstas%2C+Yinong+Young%2DXu%2C+Benjamin+Goertzel%2C+Bradley+Watts%2C+Laura+Flashman%2C+and+Thomas+McAllister%2E+2014%2E+Predicting+the+risk+of+suicide+by+analyzing+th)
81. Sunny Rai, Elizabeth C. Stade, Salvatore Giorgi, Ashley Francisco, Lyle H. Ungar, Brenda Curtis, and Sharath C. Guntuku. 2024. Key language markers of depression on social media depend on race. Proceedings of the National Academy of Sciences, 121(14):e2319837121. [find](https://scholar.google.com/scholar?q=Sunny+Rai%2C+Elizabeth+C%2E+Stade%2C+Salvatore+Giorgi%2C+Ashley+Francisco%2C+Lyle+H%2E+Ungar%2C+Brenda+Curtis%2C+and+Sharath+C%2E+Guntuku%2E+2024%2E+Key+language+markers+of+depression+on+social+media+depend+on+race%2E+Procee)
82. Nishat Raihan, Sadiya Sayara Chowdhury Puspo, Ana-Maria Bucur, Stevie Chancellor, and Marcos Zampieri. 2026. Large language models for mental health: A multilingual evaluation. In Proceedings of LowResLM. [find](https://scholar.google.com/scholar?q=Nishat+Raihan%2C+Sadiya+Sayara+Chowdhury+Puspo%2C+Ana%2DMaria+Bucur%2C+Stevie+Chancellor%2C+and+Marcos+Zampieri%2E+2026%2E+Large+language+models+for+mental+health%3A+A+multilingual+evaluation%2E+In+Proceedings+of+LowRe)
83. Nishat Raihan, Sadiya Sayara Chowdhury Puspo, Shafkat Farabi, Ana-Maria Bucur, Tharindu Ranasinghe, and Marcos Zampieri. 2024. Mentalhelp: A multi-task dataset for mental health in social media. In Proceedings of LREC-COLING. [find](https://scholar.google.com/scholar?q=Nishat+Raihan%2C+Sadiya+Sayara+Chowdhury+Puspo%2C+Shafkat+Farabi%2C+Ana%2DMaria+Bucur%2C+Tharindu+Ranasinghe%2C+and+Marcos+Zampieri%2E+2024%2E+Mentalhelp%3A+A+multi%2Dtask+dataset+for+mental+health+in+social+media%2E+In+Pr)
84. Lubova Renemane and Jelena Vrublevska. 2021. Chapter 17 - hamilton depression rating scale: Uses and applications. In Colin R. Martin, Lan-Anh Hunter, Vinood B. Patel, Victor R. Preedy, and Rajkumar Rajendram, editors, The Neuroscience of Depression, pages 175–183. Academic Press. [find](https://scholar.google.com/scholar?q=Lubova+Renemane+and+Jelena+Vrublevska%2E+2021%2E+Chapter+17+%2D+hamilton+depression+rating+scale%3A+Uses+and+applications%2E+In+Colin+R%2E+Martin%2C+Lan%2DAnh+Hunter%2C+Vinood+B%2E+Patel%2C+Victor+R%2E+Preedy%2C+and+Rajkumar+R)
85. Edward H Reynolds and James V Kinnier Wilson. 2013. Depression and anxiety in babylon. Journal of the Royal Society of Medicine, 106(12):478–481. [find](https://scholar.google.com/scholar?q=Edward+H+Reynolds+and+James+V+Kinnier+Wilson%2E+2013%2E+Depression+and+anxiety+in+babylon%2E+Journal+of+the+Royal+Society+of+Medicine%2C+106%2812%29%3A478%E2%80%93481%2E)
86. Ludovic Rheault. 2016. Expressions of anxiety in political texts. In Proceedings of NLP-CSS. [find](https://scholar.google.com/scholar?q=Ludovic+Rheault%2E+2016%2E+Expressions+of+anxiety+in+political+texts%2E+In+Proceedings+of+NLP%2DCSS%2E)
87. William S Rholes, John H Riskind, and Brian Neville. 1985. The relationship of cognitions and hopelessness to depression and anxiety. Social Cognition, 3(1):36–50. [find](https://scholar.google.com/scholar?q=William+S+Rholes%2C+John+H+Riskind%2C+and+Brian+Neville%2E+1985%2E+The+relationship+of+cognitions+and+hopelessness+to+depression+and+anxiety%2E+Social+Cognition%2C+3%281%29%3A36%E2%80%9350%2E)
88. Fabien Ringeval, Björn Schuller, Michel Valstar, Nicholas Cummins, Roddy Cowie, Leili Tavabi, Maximilian Schmitt, Sina Alisamir, Shahin Amiriparian, Eva-Maria Messner, et al. 2019. [find](https://scholar.google.com/scholar?q=Fabien+Ringeval%2C+Bj%C3%B6rn+Schuller%2C+Michel+Valstar%2C+Nicholas+Cummins%2C+Roddy+Cowie%2C+Leili+Tavabi%2C+Maximilian+Schmitt%2C+Sina+Alisamir%2C+Shahin+Amiriparian%2C+Eva%2DMaria+Messner%2C+et+al%2E+2019%2E)
89. Avec 2019 workshop and challenge: state-of-mind, detecting depression with ai, and cross-cultural affect recognition. In Proceedings of AVEC. [find](https://scholar.google.com/scholar?q=Avec+2019+workshop+and+challenge%3A+state%2Dof%2Dmind%2C+detecting+depression+with+ai%2C+and+cross%2Dcultural+affect+recognition%2E+In+Proceedings+of+AVEC%2E)
90. Stephanie Rude, Eva-Maria Gortner, and James Pennebaker. 2004. Language use of depressed and depression-vulnerable college students. Cognition & Emotion, 18(8):1121–1133. [find](https://scholar.google.com/scholar?q=Stephanie+Rude%2C+Eva%2DMaria+Gortner%2C+and+James+Pennebaker%2E+2004%2E+Language+use+of+depressed+and+depression%2Dvulnerable+college+students%2E+Cognition+%26+Emotion%2C+18%288%29%3A1121%E2%80%931133%2E)
91. A.John Rush, Madhukar H Trivedi, Hicham M Ibrahim, Thomas J Carmody, Bruce Arnow, Daniel N Klein, John C Markowitz, Philip T Ninan, Susan Kornstein, Rachel Manber, Michael E Thase, James H Kocsis, and Martin B Keller. 2003. The 16-item quick inventory of depressive symptomatology (qids), clinician r… [find](https://scholar.google.com/scholar?q=A%2EJohn+Rush%2C+Madhukar+H+Trivedi%2C+Hicham+M+Ibrahim%2C+Thomas+J+Carmody%2C+Bruce+Arnow%2C+Daniel+N+Klein%2C+John+C+Markowitz%2C+Philip+T+Ninan%2C+Susan+Kornstein%2C+Rachel+Manber%2C+Michael+E+Thase%2C+James+H+Kocsis%2C+and)
92. Esteban Andrés Ríssola, Mohammad Aliannejadi, and Fabio Crestani. 2020. Beyond modelling: understanding mental disorders in online social media. In Proc. of ECIR, pages 296–310. Springer. [find](https://scholar.google.com/scholar?q=Esteban+Andr%C3%A9s+R%C3%ADssola%2C+Mohammad+Aliannejadi%2C+and+Fabio+Crestani%2E+2020%2E+Beyond+modelling%3A+understanding+mental+disorders+in+online+social+media%2E+In+Proc%2E+of+ECIR%2C+pages+296%E2%80%93310%2E+Springer%2E)
93. Pooja Saini, David While, Khatidja Chantler, Kirsten Windfuhr, and Navneet Kapur. 2014. Assessment and management of suicide risk in primary care. Crisis. [find](https://scholar.google.com/scholar?q=Pooja+Saini%2C+David+While%2C+Khatidja+Chantler%2C+Kirsten+Windfuhr%2C+and+Navneet+Kapur%2E+2014%2E+Assessment+and+management+of+suicide+risk+in+primary+care%2E+Crisis%2E)
94. Selim Sametoğlu, DHM Pelt, Johannes C Eichstaedt, Lyle H Ungar, and Meike Bartels. 2024. [find](https://scholar.google.com/scholar?q=Selim+Sametog%CC%86lu%2C+DHM+Pelt%2C+Johannes+C+Eichstaedt%2C+Lyle+H+Ungar%2C+and+Meike+Bartels%2E+2024%2E)
95. The value of social media language for the assessment of wellbeing: A systematic review and meta-analysis. The Journal of Positive Psychology, 19(3):471–489. [find](https://scholar.google.com/scholar?q=The+value+of+social+media+language+for+the+assessment+of+wellbeing%3A+A+systematic+review+and+meta%2Danalysis%2E+The+Journal+of+Positive+Psychology%2C+19%283%29%3A471%E2%80%93489%2E)
96. Annika Marie Schoene and Nina Dethlefs. 2016. Automatic identification of suicide notes from linguistic and sentiment features. In Proceedings of SIGHUM, LaTeCH. [find](https://scholar.google.com/scholar?q=Annika+Marie+Schoene+and+Nina+Dethlefs%2E+2016%2E+Automatic+identification+of+suicide+notes+from+linguistic+and+sentiment+features%2E+In+Proceedings+of+SIGHUM%2C+LaTeCH%2E)
97. David V Sheehan, Kathy Harnett-Sheehan, and BA8923116 Raj. 1996. The measurement of disability. International clinical psychopharmacology, 11:89–95. [find](https://scholar.google.com/scholar?q=David+V+Sheehan%2C+Kathy+Harnett%2DSheehan%2C+and+BA8923116+Raj%2E+1996%2E+The+measurement+of+disability%2E+International+clinical+psychopharmacology%2C+11%3A89%E2%80%9395%2E)
98. Ying Shen, Huiyu Yang, and Lin Lin. 2022. Automatic depression detection: An emotional audio-textual corpus and a gru/bilstm-based model. In IEEE ICASSP. [find](https://scholar.google.com/scholar?q=Ying+Shen%2C+Huiyu+Yang%2C+and+Lin+Lin%2E+2022%2E+Automatic+depression+detection%3A+An+emotional+audio%2Dtextual+corpus+and+a+gru%2Fbilstm%2Dbased+model%2E+In+IEEE+ICASSP%2E)
99. Elysia Shi, Adithri Manda, London Chowdhury, Runeema Arun, Kevin Zhu, and Michael Lam. 2024. Enhancing depression diagnosis with chain-of-thought prompting. arXiv preprint arXiv:2408.14053. — [arXiv:2408.14053](https://arxiv.org/abs/2408.14053) [find](https://scholar.google.com/scholar?q=Elysia+Shi%2C+Adithri+Manda%2C+London+Chowdhury%2C+Runeema+Arun%2C+Kevin+Zhu%2C+and+Michael+Lam%2E+2024%2E+Enhancing+depression+diagnosis+with+chain%2Dof%2Dthought+prompting%2E+arXiv+preprint+arXiv%3A2408%2E14053%2E+%E2%80%94+%5BarXiv%3A2)
100. Daun Shin, Kyungdo Kim, Seung-Bo Lee, Changwoo Lee, Ye Seul Bae, Won Ik Cho, Min Ji Kim, C Hyung Keun Park, Eui Kyu Chie, Nam Soo Kim, et al. 2022a. Detection of depression and suicide risk based on text from clinical interviews using machine learning: possibility of a new objective diagnostic marke… [find](https://scholar.google.com/scholar?q=Daun+Shin%2C+Kyungdo+Kim%2C+Seung%2DBo+Lee%2C+Changwoo+Lee%2C+Ye+Seul+Bae%2C+Won+Ik+Cho%2C+Min+Ji+Kim%2C+C+Hyung+Keun+Park%2C+Eui+Kyu+Chie%2C+Nam+Soo+Kim%2C+et+al%2E+2022a%2E+Detection+of+depression+and+suicide+risk+based+on+t)
101. Jamin Shin, Hangyeol Yu, Hyeongdon Moon, Andrea Madotto, and Juneyoung Park. 2022b. Dialogue summaries as dialogue states (DS2), template-guided summarization for few-shot dialogue state tracking. In Findings of ACL. [find](https://scholar.google.com/scholar?q=Jamin+Shin%2C+Hangyeol+Yu%2C+Hyeongdon+Moon%2C+Andrea+Madotto%2C+and+Juneyoung+Park%2E+2022b%2E+Dialogue+summaries+as+dialogue+states+%28DS2%29%2C+template%2Dguided+summarization+for+few%2Dshot+dialogue+state+tracking%2E+In+)
102. Ruba Skaik and Diana Inkpen. 2020. Using social media for mental health surveillance: a review. ACM Computing Surveys, 53(6):1–31. [find](https://scholar.google.com/scholar?q=Ruba+Skaik+and+Diana+Inkpen%2E+2020%2E+Using+social+media+for+mental+health+surveillance%3A+a+review%2E+ACM+Computing+Surveys%2C+53%286%29%3A1%E2%80%9331%2E)
103. Robert L. Spitzer, Kurt Kroenke, Janet B. W. Williams, and Bernd Löwe. 2006. A brief measure for assessing generalized anxiety disorder: The gad-7. Archives of Internal Medicine, 166(10):1092–1097. [find](https://scholar.google.com/scholar?q=Robert+L%2E+Spitzer%2C+Kurt+Kroenke%2C+Janet+B%2E+W%2E+Williams%2C+and+Bernd+L%C3%B6we%2E+2006%2E+A+brief+measure+for+assessing+generalized+anxiety+disorder%3A+The+gad%2D7%2E+Archives+of+Internal+Medicine%2C+166%2810%29%3A1092%E2%80%931097%2E)
104. Kim Stene-Larsen and Anne Reneflot. 2019. Contact with primary and mental health care prior to suicide: a systematic review of the literature from 2000 to 2017. Scandinavian journal of public health, 47(1):9–17. [find](https://scholar.google.com/scholar?q=Kim+Stene%2DLarsen+and+Anne+Reneflot%2E+2019%2E+Contact+with+primary+and+mental+health+care+prior+to+suicide%3A+a+systematic+review+of+the+literature+from+2000+to+2017%2E+Scandinavian+journal+of+public+health%2C+)
105. Aneeta Sylolypavan, Derek Sleeman, Honghan Wu, and Malcolm Sim. 2023. The impact of inconsistent human annotations on ai driven clinical decision making. NPJ Digital Medicine, 6(1):26. [find](https://scholar.google.com/scholar?q=Aneeta+Sylolypavan%2C+Derek+Sleeman%2C+Honghan+Wu%2C+and+Malcolm+Sim%2E+2023%2E+The+impact+of+inconsistent+human+annotations+on+ai+driven+clinical+decision+making%2E+NPJ+Digital+Medicine%2C+6%281%29%3A26%2E)
106. Mashrura Tasnim, Malikeh Ehghaghi, Brian Diep, and Jekaterina Novikova. 2022. DEPAC: a corpus for depression and anxiety detection from speech. In Proceedings of CLPsych. [find](https://scholar.google.com/scholar?q=Mashrura+Tasnim%2C+Malikeh+Ehghaghi%2C+Brian+Diep%2C+and+Jekaterina+Novikova%2E+2022%2E+DEPAC%3A+a+corpus+for+depression+and+anxiety+detection+from+speech%2E+In+Proceedings+of+CLPsych%2E)
107. Mathieu Templier and Guy Paré. 2015. A framework for guiding and evaluating literature reviews. Communications of the Association for Information Systems, 37(1):6. [find](https://scholar.google.com/scholar?q=Mathieu+Templier+and+Guy+Par%C3%A9%2E+2015%2E+A+framework+for+guiding+and+evaluating+literature+reviews%2E+Communications+of+the+Association+for+Information+Systems%2C+37%281%29%3A6%2E)
108. Michael Tenti, William Raffaeli, and Paola Gremigni. 2022. A narrative review of the assessment of depression in chronic pain. Pain Management Nursing, 23(2):158–167. [find](https://scholar.google.com/scholar?q=Michael+Tenti%2C+William+Raffaeli%2C+and+Paola+Gremigni%2E+2022%2E+A+narrative+review+of+the+assessment+of+depression+in+chronic+pain%2E+Pain+Management+Nursing%2C+23%282%29%3A158%E2%80%93167%2E)
109. Yevhen Tyshchenko. 2018. Depression and anxiety detection from blog posts data. Nature Precis. Sci., Inst. Comput. Sci., Univ. Tartu, Tartu, Estonia, pages 6–46. [find](https://scholar.google.com/scholar?q=Yevhen+Tyshchenko%2E+2018%2E+Depression+and+anxiety+detection+from+blog+posts+data%2E+Nature+Precis%2E+Sci%2E%2C+Inst%2E+Comput%2E+Sci%2E%2C+Univ%2E+Tartu%2C+Tartu%2C+Estonia%2C+pages+6%E2%80%9346%2E)
110. Rudolf Uher, Roy H Perlis, Anna Placentino, Mojca Zvezdana Dernovšek, Neven Henigsberg, Ole Mors, Wolfgang Maier, Peter McGuffin, and Anne Farmer. 2012. Self-report and clinician-rated measures of depression severity: can one replace the other? Depression and anxiety, 29(12):1043–1049. [find](https://scholar.google.com/scholar?q=Rudolf+Uher%2C+Roy+H+Perlis%2C+Anna+Placentino%2C+Mojca+Zvezdana+Dernov%C5%A1ek%2C+Neven+Henigsberg%2C+Ole+Mors%2C+Wolfgang+Maier%2C+Peter+McGuffin%2C+and+Anne+Farmer%2E+2012%2E+Self%2Dreport+and+clinician%2Drated+measures+of+dep)
111. Ozlem Uzuner, Amber Stubbs, and Michele Filannino. 2017. A natural language processing challenge for clinical records: Research domains criteria (rdoc) for psychiatry. Journal of biomedical informatics, 75:S1. [find](https://scholar.google.com/scholar?q=Ozlem+Uzuner%2C+Amber+Stubbs%2C+and+Michele+Filannino%2E+2017%2E+A+natural+language+processing+challenge+for+clinical+records%3A+Research+domains+criteria+%28rdoc%29+for+psychiatry%2E+Journal+of+biomedical+informatic)
112. Aleksander Wawer, Izabela Chojnicka, Lukasz Okruszek, and Justyna Sarzynska-Wawer. 2022. Single and cross-disorder detection for autism and schizophrenia. Cognitive Computation, 14(1):461–473. [find](https://scholar.google.com/scholar?q=Aleksander+Wawer%2C+Izabela+Chojnicka%2C+Lukasz+Okruszek%2C+and+Justyna+Sarzynska%2DWawer%2E+2022%2E+Single+and+cross%2Ddisorder+detection+for+autism+and+schizophrenia%2E+Cognitive+Computation%2C+14%281%29%3A461%E2%80%93473%2E)
113. Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al. 2022. Chain-of-thought prompting elicits reasoning in large language models. Advances in neural information processing systems, 35:24824–24837. [find](https://scholar.google.com/scholar?q=Jason+Wei%2C+Xuezhi+Wang%2C+Dale+Schuurmans%2C+Maarten+Bosma%2C+Fei+Xia%2C+Ed+Chi%2C+Quoc+V+Le%2C+Denny+Zhou%2C+et+al%2E+2022%2E+Chain%2Dof%2Dthought+prompting+elicits+reasoning+in+large+language+models%2E+Advances+in+neural+i) [our card](https://md.research.elamur.ai/free/papers/wei-2022-chain-thought-prompting-elicits-reasoning/)
114. World Health Organization. 1992. The ICD-10 classification of mental and behavioural disorders: clinical descriptions and diagnostic guidelines, volume 1. World Health Organization. [find](https://scholar.google.com/scholar?q=World+Health+Organization%2E+1992%2E+The+ICD%2D10+classification+of+mental+and+behavioural+disorders%3A+clinical+descriptions+and+diagnostic+guidelines%2C+volume+1%2E+World+Health+Organization%2E)
115. Chi-Shin Wu, Chian-Jue Kuo, Chu-Hsien Su, Shi-Heng Wang, and Hong-Jie Dai. 2020. Using text mining to extract depressive symptoms and to validate the diagnosis of major depressive disorder from electronic health records. Journal of affective disorders, 260:617–623. [find](https://scholar.google.com/scholar?q=Chi%2DShin+Wu%2C+Chian%2DJue+Kuo%2C+Chu%2DHsien+Su%2C+Shi%2DHeng+Wang%2C+and+Hong%2DJie+Dai%2E+2020%2E+Using+text+mining+to+extract+depressive+symptoms+and+to+validate+the+diagnosis+of+major+depressive+disorder+from+electr)
116. Shihao Xu, Yiming Yan, Yanli Ding, Feng Li, Shu Zhang, Haoyun Tang, Chao Luo, Yan Li, Hao Liu, Yu Mei, et al. 2025. Identifying psychiatric manifestations in outpatients with depression and anxiety: A large language model-based approach. medRxiv, pages 2025–01. [find](https://scholar.google.com/scholar?q=Shihao+Xu%2C+Yiming+Yan%2C+Yanli+Ding%2C+Feng+Li%2C+Shu+Zhang%2C+Haoyun+Tang%2C+Chao+Luo%2C+Yan+Li%2C+Hao+Liu%2C+Yu+Mei%2C+et+al%2E+2025%2E+Identifying+psychiatric+manifestations+in+outpatients+with+depression+and+anxiety%3A+A)
117. Daniel Zarate, Vasileios Stavropoulos, Michelle Ball, Gabriel de Sena Collier, and Nicholas C Jacobson. 2022. Exploring the digital footprint of depression: a prisma systematic literature review of the empirical evidence. BMC psychiatry, 22(1):421. [find](https://scholar.google.com/scholar?q=Daniel+Zarate%2C+Vasileios+Stavropoulos%2C+Michelle+Ball%2C+Gabriel+de+Sena+Collier%2C+and+Nicholas+C+Jacobson%2E+2022%2E+Exploring+the+digital+footprint+of+depression%3A+a+prisma+systematic+literature+review+of+th)
118. Alexandros Dimitrios Zervopoulos, Evangelos Geramanis, Alexandros Toulakis, Asterios Papamichail, Dimitrios Triantafylloy, Theofanis Tasoulas, and Katia Kermanidis. 2019. Language processing for predicting suicidal tendencies: a case study in greek poetry. In IFIP AIAI. [find](https://scholar.google.com/scholar?q=Alexandros+Dimitrios+Zervopoulos%2C+Evangelos+Geramanis%2C+Alexandros+Toulakis%2C+Asterios+Papamichail%2C+Dimitrios+Triantafylloy%2C+Theofanis+Tasoulas%2C+and+Katia+Kermanidis%2E+2019%2E+Language+processing+for+predi)
119. Yunpeng Zhao, Xing He, Zheng Feng, Sarah Bost, Mattia Prosperi, Yonghui Wu, Yi Guo, and Jiang Bian. 2022. Biases in using social media data for public health surveillance: A scoping review. International Journal of Medical Informatics, 164:104804. [find](https://scholar.google.com/scholar?q=Yunpeng+Zhao%2C+Xing+He%2C+Zheng+Feng%2C+Sarah+Bost%2C+Mattia+Prosperi%2C+Yonghui+Wu%2C+Yi+Guo%2C+and+Jiang+Bian%2E+2022%2E+Biases+in+using+social+media+data+for+public+health+surveillance%3A+A+scoping+review%2E+Internatio)
120. Li Zhou, Amy W Baughman, Victor J Lei, Kenneth H Lai, Amol S Navathe, Frank Chang, Margarita Sordo, Maxim Topaz, Feiran Zhong, Madhavan Murrali, et al. 2015. Identifying patients with depression using free-text clinical documents. In MEDINFO. [find](https://scholar.google.com/scholar?q=Li+Zhou%2C+Amy+W+Baughman%2C+Victor+J+Lei%2C+Kenneth+H+Lai%2C+Amol+S+Navathe%2C+Frank+Chang%2C+Margarita+Sordo%2C+Maxim+Topaz%2C+Feiran+Zhong%2C+Madhavan+Murrali%2C+et+al%2E+2015%2E+Identifying+patients+with+depression+using)
121. Mark Zimmerman and William Coryell. 1987. The inventory to diagnose depression, lifetime version. Acta Psychiatrica Scandinavica, 75(5):495– 499. [find](https://scholar.google.com/scholar?q=Mark+Zimmerman+and+William+Coryell%2E+1987%2E+The+inventory+to+diagnose+depression%2C+lifetime+version%2E+Acta+Psychiatrica+Scandinavica%2C+75%285%29%3A495%E2%80%93+499%2E)
122. Bochao Zou, Jiali Han, Yingxue Wang, Rui Liu, Shenghui Zhao, Lei Feng, Xiangwen Lyu, and Huimin Ma. 2023. Semi-structural interview-based chinese multimodal depression corpus towards automatic preliminary screening of depressive disorders. IEEE Transactions on Affective Computing, 14(4):2823–2838. [find](https://scholar.google.com/scholar?q=Bochao+Zou%2C+Jiali+Han%2C+Yingxue+Wang%2C+Rui+Liu%2C+Shenghui+Zhao%2C+Lei+Feng%2C+Xiangwen+Lyu%2C+and+Huimin+Ma%2E+2023%2E+Semi%2Dstructural+interview%2Dbased+chinese+multimodal+depression+corpus+towards+automatic+prelimi)