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

Engagement with and Adherence to Digital Health Interventions, Law of Attrition (491) Innovations and Technology for Healthy Eating Education (414) Innovations and Technology for Physical Activity Education (742) mHealth for Wellness, Behavior Change and Prevention (2871)

Published on in Vol 23, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22184, first published .
Lifelog Data-Based Prediction Model of Digital Health Care App Customer Churn: Retrospective Observational Study

Lifelog Data-Based Prediction Model of Digital Health Care App Customer Churn: Retrospective Observational Study

Lifelog Data-Based Prediction Model of Digital Health Care App Customer Churn: Retrospective Observational Study

Authors of this article:

Hongwook Kwon1 Author Orcid Image ;   Ho Heon Kim1 Author Orcid Image ;   Jaeil An1 Author Orcid Image ;   Jae-Ho Lee2, 3 Author Orcid Image ;   Yu Rang Park1 Author Orcid Image
Article Authors Cited by (10) Tweetations (5) Metrics

Hongwook Kwon   1 , MS ;   Ho Heon Kim   1 , MS ;   Jaeil An   1 , MS ;   Jae-Ho Lee   2, 3 , MD, PhD ;   Yu Rang Park   1 , PhD

1 Department of Biomedical Systems Informatics, College of Medicine, Yonsei University, Seoul, Republic of Korea

2 Department of Information Medicine, Asan Medical Center, College of Medicine, University of Ulsan, Seoul, Republic of Korea

3 Department of Emergency Medicine, Asan Medical Center, College of Medicine, University of Ulsan, Seoul, Republic of Korea

Corresponding Author:

  • Yu Rang Park, PhD
  • Department of Biomedical Systems Informatics
  • College of Medicine
  • Yonsei University
  • 50-1 Yonsei-ro
  • Seodaemun-gu
  • Seoul, 03722
  • Republic of Korea
  • Phone: 82 2-2228-2493
  • Email: yurangpark@yuhs.ac