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

Obesity and Nutrition as Public Health Problem (304) Clinical Information and Decision Making (1407) Diabetes Education and Self-Management in Childhood and Adolescence (35) Machine Learning (1465) Artificial Intelligence (1371) Artificial Intelligence in Diabetes Care and Prevention (29) Advanced Data Analytics in eHealth (133) Secondary Use of Clinical Data for Research and Surveillance (366)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53330, first published .
A Comprehensive Youth Diabetes Epidemiological Data Set and Web Portal: Resource Development and Case Studies

A Comprehensive Youth Diabetes Epidemiological Data Set and Web Portal: Resource Development and Case Studies

A Comprehensive Youth Diabetes Epidemiological Data Set and Web Portal: Resource Development and Case Studies

Authors of this article:

Catherine McDonough1 Author Orcid Image ;   Yan Chak Li1 Author Orcid Image ;   Nita Vangeepuram2, 3 Author Orcid Image ;   Bian Liu3 Author Orcid Image ;   Gaurav Pandey1 Author Orcid Image
Article Authors Cited by Tweetations (7) Metrics

Catherine McDonough   1 * , MS ;   Yan Chak Li   1 * , MPhil ;   Nita Vangeepuram   2, 3 , MPH, MD ;   Bian Liu   3 , PhD ;   Gaurav Pandey   1 , PhD

1 Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States

2 Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, United States

3 Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, United States

*these authors contributed equally

Corresponding Author:

  • Gaurav Pandey, PhD
  • Department of Genetics and Genomic Sciences
  • Icahn School of Medicine at Mount Sinai
  • 1 Gustave L. Levy Pl
  • New York, NY, 10029
  • United States
  • Phone: 1 212-241-6500
  • Email: gaurav.pandey@mssm.edu