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

Clinical Information and Decision Making (1434) Depression and Mood Disorders; Suicide Prevention (1392) Decision Support for Health Professionals (1210) Diagnostic Tools in Mental Health (248) Innovations in Mental Health Systems (398) Machine Learning (55) Wearable Devices and Sensors (903) Wearable Devices and Sensors (26) Machine Learning (1501)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65994, first published .
Comprehensive Symptom Prediction in Inpatients With Acute Psychiatric Disorders Using Wearable-Based Deep Learning Models: Development and Validation Study

Comprehensive Symptom Prediction in Inpatients With Acute Psychiatric Disorders Using Wearable-Based Deep Learning Models: Development and Validation Study

Comprehensive Symptom Prediction in Inpatients With Acute Psychiatric Disorders Using Wearable-Based Deep Learning Models: Development and Validation Study

Authors of this article:

Minseok Hong1, 2 Author Orcid Image ;   Ri-Ra Kang3 Author Orcid Image ;   Jeong Hun Yang2, 4 Author Orcid Image ;   Sang Jin Rhee1 Author Orcid Image ;   Hyunju Lee1 Author Orcid Image ;   Yong-gyom Kim3 Author Orcid Image ;   KangYoon Lee3, 5 Author Orcid Image ;   HongGi Kim6 Author Orcid Image ;   Yu Sang Lee7 Author Orcid Image ;   Tak Youn8, 9 Author Orcid Image ;   Se Hyun Kim1, 2 Author Orcid Image ;   Yong Min Ahn1, 2, 10 Author Orcid Image
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