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

Depression and Mood Disorders; Suicide Prevention (1360) Special Issue on Computing and Mental Health (2018) (33) Decision Support for Health Professionals (1179) Electronic Health Records (1050)

Published on in Vol 6, No 5 (2019): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9766, first published .
An Approach for Data Mining of Electronic Health Record Data for Suicide Risk Management: Database Analysis for Clinical Decision Support

An Approach for Data Mining of Electronic Health Record Data for Suicide Risk Management: Database Analysis for Clinical Decision Support

An Approach for Data Mining of Electronic Health Record Data for Suicide Risk Management: Database Analysis for Clinical Decision Support

Authors of this article:

Sofian Berrouiguet1, 2, 3, 4 Author Orcid Image ;   Romain Billot4 Author Orcid Image ;   Mark Erik Larsen5 Author Orcid Image ;   Jorge Lopez-Castroman6 Author Orcid Image ;   Isabelle Jaussent7 Author Orcid Image ;   Michel Walter1 Author Orcid Image ;   Philippe Lenca4 Author Orcid Image ;   Enrique Baca-García8, 9, 10, 11, 12, 13, 14 Author Orcid Image ;   Philippe Courtet7, 10, 11, 15, 16 Author Orcid Image
Article Authors Cited by (14) Tweetations (4) Metrics

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  3. Le Glaz A, Haralambous Y, Kim-Dufor D, Lenca P, Billot R, Ryan T, Marsh J, DeVylder J, Walter M, Berrouiguet S, Lemey C. Machine Learning and Natural Language Processing in Mental Health: Systematic Review. Journal of Medical Internet Research 2021;23(5):e15708 View
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  13. Nente Chávez F, Díaz Rodríguez M. Bioética en la salud mental. Dilemas actuales ante nuevas condiciones emergentes. Psiquiatría Biológica 2024;31(4):100508 View
  14. Mazeau L, Berrouiguet S. Droit et intelligence artificielle en psychiatrie. Éthique publique 2021;(vol. 23, n° 2) View