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

mHealth for Wellness, Behavior Change and Prevention (2754) Machine Learning (1400) Innovations and Technology for Physical Activity Education (703) Artificial Intelligence (1214) Innovations and Technology for Healthy Eating Education (400)

Published on in Vol 9, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22183, first published .
Interpretable Conditional Recurrent Neural Network for Weight Change Prediction: Algorithm Development and Validation Study

Interpretable Conditional Recurrent Neural Network for Weight Change Prediction: Algorithm Development and Validation Study

Interpretable Conditional Recurrent Neural Network for Weight Change Prediction: Algorithm Development and Validation Study

Authors of this article:

Ho Heon Kim1 Author Orcid Image ;   Youngin Kim2 Author Orcid Image ;   Yu Rang Park1 Author Orcid Image
Article Authors Cited by (5) Tweetations (1) Metrics

Ho Heon Kim   1 , MS ;   Youngin Kim   2 , MD ;   Yu Rang Park   1 , PhD

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

2 Noom Inc, New York, NY, United States

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 0222282493
  • Email: yurangpark@yuhs.ac