Published on in Vol 23, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27218, first published .
Machine Learning Analysis to Identify Digital Behavioral Phenotypes for Engagement and Health Outcome Efficacy of an mHealth Intervention for Obesity: Randomized Controlled Trial

Machine Learning Analysis to Identify Digital Behavioral Phenotypes for Engagement and Health Outcome Efficacy of an mHealth Intervention for Obesity: Randomized Controlled Trial

Machine Learning Analysis to Identify Digital Behavioral Phenotypes for Engagement and Health Outcome Efficacy of an mHealth Intervention for Obesity: Randomized Controlled Trial

Meelim Kim 1*, MA;  Jaeyeong Yang 2*, MS;  Woo-Young Ahn 2, 3, PhD;  Hyung Jin Choi 1, 4, MD, PhD

1 Department of Biomedical Sciences, Seoul National University College of Medicine , Seoul , KR

2 Department of Psychology, Seoul National University , Seoul , KR

3 Department of Brain and Cognitive Sciences, Seoul National University , Seoul , KR

4 Department of Anatomy and Cell Biology, Neuroscience Research Institute, Wide River Institute of Immunology, Gangwon-do , KR

*these authors contributed equally

Corresponding Author:

  • Hyung Jin Choi, MD, PhD
  • Department of Biomedical Sciences
  • Seoul National University College of Medicine
  • 28 Yungun-Dong, Chongno-Gu
  • Seoul
  • KR
  • Phone: 82 27408204
  • Email: hjchoi@snu.ac.kr