Published on in Vol 9, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30540, first published .
Correction: Tracking and Monitoring Mood Stability of Patients With Major Depressive Disorder by Machine Learning Models Using Passive Digital Data: Prospective Naturalistic Multicenter Study

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

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

Journals

  1. Guo R, Guo H, Wang L, Chen M, Yang D, Li B. Development and application of emotion recognition technology — a systematic literature review. BMC Psychology 2024;12(1) View

Conference Proceedings

  1. Zhang Q, Xu J, Jin H, Dai S, Liu Y, Shen Y, Li Y. 2024 Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC). Discrimination of Emotional Valence Based on Physiological Signals in the Hand and Machine Learning Algorithm View