Published on in Vol 8, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25455, first published .
Clinician Perspectives on Using Computational Mental Health Insights From Patients’ Social Media Activities: Design and Qualitative Evaluation of a Prototype

Clinician Perspectives on Using Computational Mental Health Insights From Patients’ Social Media Activities: Design and Qualitative Evaluation of a Prototype

Clinician Perspectives on Using Computational Mental Health Insights From Patients’ Social Media Activities: Design and Qualitative Evaluation of a Prototype

Journals

  1. Merchant R, Southwick L, Beidas R, Mandell D, Guntuku S, Pelullo A, Yang L, Mitra N, Curtis B, Ungar L, Asch D. Effect of Integrating Patient-Generated Digital Data Into Mental Health Therapy: A Randomized Controlled Trial. Psychiatric Services 2023;74(8):876 View
  2. Nguyen V, Lu N, Kane J, Birnbaum M, De Choudhury M. Cross-Platform Detection of Psychiatric Hospitalization via Social Media Data: Comparison Study. JMIR Mental Health 2022;9(12):e39747 View
  3. Hauser T, Skvortsova V, De Choudhury M, Koutsouleris N. The promise of a model-based psychiatry: building computational models of mental ill health. The Lancet Digital Health 2022;4(11):e816 View
  4. Ehsan U, Saha K, De Choudhury M, Riedl M. Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI. Proceedings of the ACM on Human-Computer Interaction 2023;7(CSCW1):1 View
  5. Li I, Estafanous A, De Choudhury M, Alvarez-Jimenez M, Birnbaum M. Social Media and Early Psychosis Intervention: A Comprehensive Review of the Literature. Current Treatment Options in Psychiatry 2024 View

Books/Policy Documents

  1. Chen X, Genc Y. Artificial Intelligence in HCI. View