Erratum: 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 (Journal of medical Internet research (2019) 21 4 (e11029))

Chul Hyun Cho, Taek Lee, Min Gwan Kim, Hoh Peter In, Leen Kim, Heon Jeong Lee

Research output: Contribution to journalComment/debate

Abstract

[This corrects the article DOI: 10.2196/11029.].

Original languageEnglish
Pages (from-to)e15966
JournalJournal of medical Internet research
Volume21
Issue number10
DOIs
Publication statusPublished - 2019 Oct 3

Fingerprint

Circadian Rhythm
Mood Disorders
Internet
Observational Studies
Biomedical Research
Cohort Studies
Phenotype
Machine Learning

Keywords

  • circadian rhythm
  • digital phenotype
  • machine learning
  • mood disorder
  • prediction
  • wearable device

ASJC Scopus subject areas

  • Health Informatics

Cite this

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title = "Erratum: 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 (Journal of medical Internet research (2019) 21 4 (e11029))",
abstract = "[This corrects the article DOI: 10.2196/11029.].",
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AU - Cho, Chul Hyun

AU - Lee, Taek

AU - Kim, Min Gwan

AU - In, Hoh Peter

AU - Kim, Leen

AU - Lee, Heon Jeong

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KW - prediction

KW - wearable device

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