This paper is in the following e-collection/theme issue:

Discretionary Corrigenda (110)

Published on in Vol 21, No 10 (2019): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15966, first published .
Addendum to the Acknowledgements: Mood Prediction of Patients With Mood Disorders by Machine Learning Using Passive Digital Phenotypes Based on the Circadian Rhythm: Prospective Observational Cohort Study

Addendum to the Acknowledgements: Mood Prediction of Patients With Mood Disorders by Machine Learning Using Passive Digital Phenotypes Based on the Circadian Rhythm: Prospective Observational Cohort Study

Addendum to the Acknowledgements: Mood Prediction of Patients With Mood Disorders by Machine Learning Using Passive Digital Phenotypes Based on the Circadian Rhythm: Prospective Observational Cohort Study

Authors of this article:

Chul-Hyun Cho1 Author Orcid Image ;   Taek Lee2 Author Orcid Image ;   Min-Gwan Kim3 Author Orcid Image ;   Hoh Peter In3 Author Orcid Image ;   Leen Kim1 Author Orcid Image ;   Heon-Jeong Lee1 Author Orcid Image
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Conference Proceedings

  1. Gao J, Yan R, Doryab A. 2023 International Conference on Machine Learning and Applications (ICMLA). Modeling Regularity and Predictability in Human Behavior from Multidimensional Sensing Signals and Personal Characteristics View