Published on in Vol 9, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24365, first published .
Tracking and Monitoring Mood Stability of Patients With Major Depressive Disorder by Machine Learning Models Using Passive Digital Data: Prospective Naturalistic Multicenter Study

Tracking and Monitoring Mood Stability of Patients With Major Depressive Disorder by Machine Learning Models Using Passive Digital Data: Prospective Naturalistic Multicenter Study

Tracking and Monitoring Mood Stability of Patients With Major Depressive Disorder by Machine Learning Models Using Passive Digital Data: Prospective Naturalistic Multicenter Study

Ran Bai   1, 2 * , MS ;   Le Xiao   3 * , PhD, MD ;   Yu Guo   4 , MEng ;   Xuequan Zhu   3 , MA ;   Nanxi Li   3 , MD ;   Yashen Wang   2 , PhD ;   Qinqin Chen   2 , PhD ;   Lei Feng   3 , PhD, MD ;   Yinghua Wang   2 , PhD ;   Xiangyi Yu   2 , MS ;   Chunxue Wang   5 , MD, PhD ;   Yongdong Hu   6 , MD, PhD ;   Zhandong Liu   7 , MD ;   Haiyong Xie   1, 2 , PhD ;   Gang Wang   1, 3 , PhD, MD

1 Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China

2 National Engineering Laboratory for Risk Perception and Prevention, Beijing, China

3 The National Clinical Research Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China

4 Beijing University of Posts and Telecommunications, Beijing, China

5 Department of Neuropsychiatry and Clinical Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China

6 Department of Psychological Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China

7 Department of Neurology, Medical Health Center, Beijing Friendship Hospital, Capital Medical University, Beijing, China

*these authors contributed equally

Corresponding Author:

  • Gang Wang, PhD, MD
  • The National Clinical Research Center for Mental Disorders
  • Beijing Anding Hospital
  • Capital Medical University
  • No 5 Ankang Lane, Xicheng District
  • Beijing, 100088
  • China
  • Phone: 86 13466604224
  • Fax: 86 1058303289
  • Email: gangwangdoc@ccmu.edu.cn