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Developing prediction algorithms for late-life depression using wearable devices: a cohort study protocol.

Jin-Kyung LeeMin-Hyuk KimSangwon HwangKyoung-Joung LeeJi Young ParkTaeksoo ShinHyo-Sang LimErdenebayar UrtnasanMoo-Kwon ChungSeongho Min
Published in: BMJ open (2024)
This study protocol has been reviewed and approved by the Yonsei University Mirae Campus Institutional Review Board (1041849-2 02 111 SB-180-06) in South Korea. All participants provided written informed consent. The findings of this research will be disseminated by academic publications and conference presentations.
Keyphrases
  • randomized controlled trial
  • study protocol
  • machine learning
  • depressive symptoms
  • clinical trial
  • deep learning
  • heart rate
  • sleep quality
  • drug administration
  • open label
  • double blind
  • blood pressure