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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 .
JMIR Publications logo: Advancing Digital Health & Open Science

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
  2. Silva C, Costa T, Antunes M. 2026 13th International Conference on Future Internet of Things and Cloud (FiCloud). Self-Adaptive Governance for Elastic Privacy in Mental Health Digital Phenotyping View