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

Journal: Journal of medical Internet research
PMID: 39536315

Abstract

BACKGROUND: Assessing the complex and multifaceted symptoms of patients with acute psychiatric disorders proves to be significantly challenging for clinicians. Moreover, the staff in acute psychiatric wards face high work intensity and risk of burnout, yet research on the introduction of digital technologies in this field remains limited. The combination of continuous and objective wearable sensor data acquired from patients with deep learning techniques holds the potential to overcome the limitations of traditional psychiatric assessments and support clinical decision-making.

Authors

  • Minseok Hong
    Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea.
  • Ri-Ra Kang
    Department of IT Convergence Engineering, Gachon University, Seongnam-si, Republic of Korea.
  • Jeong Hun Yang
    Department of Psychiatry, Chungnam National University Sejong Hospital, Sejong, Republic of Korea; Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea.
  • Sang Jin Rhee
    Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea.
  • Hyunju Lee
    College of Medicine, Hallym University, Chuncheon, Korea.
  • Yong-Gyom Kim
    Department of IT Convergence Engineering, Gachon University, Seongnam-si, Republic of Korea.
  • KangYoon Lee
    Department of IT Convergence Engineering, Gachon University, Seongnam-si, Republic of Korea.
  • HongGi Kim
    Healthconnect Co. Ltd., Seoul, Republic of Korea.
  • Yu Sang Lee
    Department of Psychiatry, Yong-In Mental Hospital, Yongin-si, Republic of Korea.
  • Tak Youn
    Department of Psychiatry, Dongguk University International Hospital, Goyang, Republic of Korea.; Institute of Clinical Psychopharmacology, Dongguk University College of Medicine, Goyang, Republic of Korea.
  • Se Hyun Kim
    Department of Psychiatry, Dongguk University International Hospital, Goyang, Republic of Korea.; Institute of Clinical Psychopharmacology, Dongguk University College of Medicine, Goyang, Republic of Korea.
  • Yong Min Ahn
    Institute of Human Behavioral Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Psychiatry, Seoul National University Hospital, Seoul, Republic of Korea. Electronic address: aym@snu.ac.kr.

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