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

Journals

  1. Kshatri S, Singh D. Convolutional Neural Network in Medical Image Analysis: A Review. Archives of Computational Methods in Engineering 2023;30(4):2793 View
  2. Kim H, Kim Y, Michaelides A, Park Y. Weight Loss Trajectories and Related Factors in a 16-Week Mobile Obesity Intervention Program: Retrospective Observational Study. Journal of Medical Internet Research 2022;24(4):e29380 View
  3. Yi X, He Y, Gao S, Li M. A review of the application of deep learning in obesity: From early prediction aid to advanced management assistance. Diabetes & Metabolic Syndrome: Clinical Research & Reviews 2024;18(4):103000 View