This paper is in the following e-collection/theme issue:

Digital Biomarkers and Digital Phenotyping (191) Machine Learning (1465) Depression and Mood Disorders; Suicide Prevention (1363) Diagnostic Tools in Mental Health (242) Mobile Health in Psychiatry (426)

Published on in Vol 8, No 6 (2020): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15901, first published .
Testing Suicide Risk Prediction Algorithms Using Phone Measurements With Patients in Acute Mental Health Settings: Feasibility Study

Testing Suicide Risk Prediction Algorithms Using Phone Measurements With Patients in Acute Mental Health Settings: Feasibility Study

Testing Suicide Risk Prediction Algorithms Using Phone Measurements With Patients in Acute Mental Health Settings: Feasibility Study

Authors of this article:

Alina Haines-Delmont1 Author Orcid Image ;   Gurdit Chahal2 Author Orcid Image ;   Ashley Jane Bruen3 Author Orcid Image ;   Abbie Wall3 Author Orcid Image ;   Christina Tara Khan4 Author Orcid Image ;   Ramesh Sadashiv2 Author Orcid Image ;   David Fearnley5 Author Orcid Image
Article Authors Cited by (35) Tweetations (13) Metrics

Journals

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  14. Zeng X, Linwood S, Liu C. Pretrained transformer framework on pediatric claims data for population specific tasks. Scientific Reports 2022;12(1) View
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  19. Moura I, Teles A, Viana D, Marques J, Coutinho L, Silva F. Digital Phenotyping of Mental Health using multimodal sensing of multiple situations of interest: A Systematic Literature Review. Journal of Biomedical Informatics 2023;138:104278 View
  20. Winkler T, Büscher R, Larsen M, Kwon S, Torous J, Firth J, Sander L. Passive Sensing in the Prediction of Suicidal Thoughts and Behaviors: Protocol for a Systematic Review. JMIR Research Protocols 2022;11(11):e42146 View
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  27. Bryan A, Heinz M, Salzhauer A, Price G, Tlachac M, Jacobson N. Behind the Screen: A Narrative Review on the Translational Capacity of Passive Sensing for Mental Health Assessment. Biomedical Materials & Devices 2024;2(2):778 View
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Books/Policy Documents

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