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

Minseok Hong   1, 2 , MD ;   Ri-Ra Kang   3 , BS ;   Jeong Hun Yang   2, 4 , MD, PhD ;   Sang Jin Rhee   1 , MD, PhD ;   Hyunju Lee   1 , MD, PhD ;   Yong-gyom Kim   3 , BS ;   KangYoon Lee   3, 5 , PhD ;   HongGi Kim   6 , BS ;   Yu Sang Lee   7 , MD, PhD ;   Tak Youn   8, 9 , MD, PhD ;   Se Hyun Kim   1, 2 , MD, PhD ;   Yong Min Ahn   1, 2, 10 , MD, PhD

1 Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea

2 Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea

3 Department of IT Convergence Engineering, Gachon University, Seongnam-si, Republic of Korea

4 Department of Psychiatry, Chungnam National University Sejong Hospital, Sejong, Republic of Korea

5 Department of Computer Engineering, Gachon University, Seongnam-si, Republic of Korea

6 Healthconnect Co. Ltd., Seoul, Republic of Korea

7 Department of Psychiatry, Yong-In Mental Hospital, Yongin-si, Republic of Korea

8 Department of Psychiatry and Electroconvulsive Therapy Center, Dongguk University International Hospital, Goyang-si, Republic of Korea

9 Institute of Buddhism and Medicine, Dongguk University, Seoul, Republic of Korea

10 Institute of Human Behavioral Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea

Corresponding Author:

  • Yong Min Ahn, MD, PhD
  • Department of Neuropsychiatry
  • Seoul National University Hospital
  • 101 Daehak-ro
  • Jongno-Gu
  • Seoul, 03080
  • Republic of Korea
  • Phone: 82 2-2072-2450
  • Fax: 82 2-766-2450
  • Email: aym@snu.ac.kr