Privacy-Preserving Federated Model Predicting Bipolar Transition in Patients With Depression: Prediction Model Development Study.

Journal: Journal of medical Internet research
PMID: 37471130

Abstract

BACKGROUND: Mood disorder has emerged as a serious concern for public health; in particular, bipolar disorder has a less favorable prognosis than depression. Although prompt recognition of depression conversion to bipolar disorder is needed, early prediction is challenging due to overlapping symptoms. Recently, there have been attempts to develop a prediction model by using federated learning. Federated learning in medical fields is a method for training multi-institutional machine learning models without patient-level data sharing.

Authors

  • Dong Yun Lee
    Department of Biomedical Informatics, Ajou University School of Medicine, Suwon-si, Republic of Korea.
  • Byungjin Choi
    Department of Biomedical Informatics, Ajou University School of Medicine, Suwon-si, Republic of Korea.
  • Chungsoo Kim
    Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Gyeonggi-do, Republic of Korea.
  • Egill Fridgeirsson
    Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, Netherlands.
  • Jenna Reps
    Advanced Data Analysis Centre, University of Nottingham, Nottingham, United Kingdom.
  • Myoungsuk Kim
    Data Solution Team, Evidnet Co, Ltd, Sungnam, Republic of Korea.
  • Jihyeong Kim
    Data Solution Team, Evidnet Co, Ltd, Sungnam, Republic of Korea.
  • Jae-Won Jang
    Department of Neurology, Kangwon National University Hospital, 156, Baengnyeong-ro, Chuncheon, Gangwon, Republic of Korea. jaewon26@gmail.com.
  • Sang Youl Rhee
    Department of Endocrinology and Metabolism, Kyung Hee University School of Medicine, Seoul, Korea.
  • Won-Woo Seo
    Department of Internal Medicine, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Republic of Korea.
  • Seunghoon Lee
    Department of Psychiatry, Myongji Hospital, Goyang, Republic of Korea.
  • Sang Joon Son
    Department of Psychiatry, School of Medicine, Ajou University, Suwon, Gyeonggi-do, Republic of Korea.
  • Rae Woong Park
    Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Gyeonggi-do, Republic of Korea.

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