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

Machine Learning (1465) Data Science (270) Decision Support for Health Professionals (1185) Electronic Health Records (1053) Natural Language Processing (693) Secondary Use of Clinical Data for Research and Surveillance (367) Data Science (270) Decision Support for Health Professionals (1185) Electronic Health Records (1053) Natural Language Processing (693) Secondary Use of Clinical Data for Research and Surveillance (367)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44322, first published .
Predicting Undesired Treatment Outcomes With Machine Learning in Mental Health Care: Multisite Study

Predicting Undesired Treatment Outcomes With Machine Learning in Mental Health Care: Multisite Study

Predicting Undesired Treatment Outcomes With Machine Learning in Mental Health Care: Multisite Study

Authors of this article:

Kasper Van Mens1, 2 Author Orcid Image ;   Joran Lokkerbol3 Author Orcid Image ;   Ben Wijnen4 Author Orcid Image ;   Richard Janssen5, 6 Author Orcid Image ;   Robert de Lange7 Author Orcid Image ;   Bea Tiemens1, 8, 9 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Raoufinia R, Rahimi H, Abbaszadeh M, Gholoobi A, Saburi E, Fakoor F, Alshakarchi H, Gataa I, Hassanian S, Ferns G, Khazaei M, Avan A. Personalized Approaches to Cardiovascular Disease: Insights into FDA-Approved Interventions and Clinical Pharmacogenetics. Current Pharmaceutical Design 2024;30(21):1667 View