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

Non-randomized Protocols and Methods (ehealth) (596) Diabetes (216) Health Equity (6) Machine Learning (1662)

Published on in Vol 14 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59308, first published .
Use of Machine Learning to Predict Individual Postprandial Glycemic Responses to Food Among Individuals With Type 2 Diabetes in India: Protocol for a Prospective Cohort Study

Use of Machine Learning to Predict Individual Postprandial Glycemic Responses to Food Among Individuals With Type 2 Diabetes in India: Protocol for a Prospective Cohort Study

Use of Machine Learning to Predict Individual Postprandial Glycemic Responses to Food Among Individuals With Type 2 Diabetes in India: Protocol for a Prospective Cohort Study

Authors of this article:

Niteesh K Choudhry1 Author Orcid Image ;   Shweta Priyadarshini2 Author Orcid Image ;   Jaganath Swamy2 Author Orcid Image ;   Mridul Mehta2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Niteesh K Choudhry   1 , MD, PhD ;   Shweta Priyadarshini   2 , PhD ;   Jaganath Swamy   2 , MBA ;   Mridul Mehta   2 , PhD

1 Department of Medicine, Harvard Medical School, Boston, MA, United States

2 Decipher Health, Delhi, India

Corresponding Author:

  • Niteesh K Choudhry, MD, PhD
  • Department of Medicine
  • Harvard Medical School
  • 1620 Tremont Street, Suite 3030
  • Boston, MA, 02115
  • United States
  • Phone: 1 617-278-0412
  • Email: nkc@post.harvard.edu