Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68260, first published .
Use of Automated Machine Learning to Detect Undiagnosed Diabetes in US Adults: Development and Validation Study

Use of Automated Machine Learning to Detect Undiagnosed Diabetes in US Adults: Development and Validation Study

Use of Automated Machine Learning to Detect Undiagnosed Diabetes in US Adults: Development and Validation Study

Jianxiu Liu   1, 2 , PhD ;   Fred Ssewamala   3, 4 , PhD ;   Ruopeng An   3, 5 , MPP, PhD ;   Mengmeng Ji   6 , MBBS, PhD

1 Division of Sports Science and Physical Education, Tsinghua University, Beijing, China

2 IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, China

3 Silver School of Social Work, New York University, New York, NY, United States

4 McSilver Institute for Poverty Policy and Research, New York University, New York, NY, United States

5 Constance and Martin Silver Center on Data Science and Social Equity, New York University, New York, NY, United States

6 Division of Public Health Sciences, Department of Surgery, Washington University in St. Louis, St. Louis, MO, United States

Corresponding Author:

  • Mengmeng Ji, MBBS, PhD
  • Division of Public Health Sciences
  • Department of Surgery, Washington University in St. Louis
  • 600 S Taylor Ave
  • St. Louis, MO 63110
  • United States
  • Phone: 1 2179799336
  • Email: j.mengmeng@wustl.edu