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Discretionary Corrigenda* (24)

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

Authors of this article:

Ran Bai1, 2 Author Orcid Image ;   Le Xiao3 Author Orcid Image ;   Yu Guo4 Author Orcid Image ;   Xuequan Zhu3 Author Orcid Image ;   Nanxi Li3 Author Orcid Image ;   Yashen Wang2 Author Orcid Image ;   Qinqin Chen2 Author Orcid Image ;   Lei Feng3 Author Orcid Image ;   Yinghua Wang2 Author Orcid Image ;   Xiangyi Yu2 Author Orcid Image ;   Chunxue Wang5 Author Orcid Image ;   Yongdong Hu6 Author Orcid Image ;   Zhandong Liu7 Author Orcid Image ;   Haiyong Xie1, 2 Author Orcid Image ;   Gang Wang1, 3 Author Orcid Image
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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