Published on in Vol 10, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21959, first published .
Using Momentary Assessment and Machine Learning to Identify Barriers to Self-management in Type 1 Diabetes: Observational Study

Using Momentary Assessment and Machine Learning to Identify Barriers to Self-management in Type 1 Diabetes: Observational Study

Using Momentary Assessment and Machine Learning to Identify Barriers to Self-management in Type 1 Diabetes: Observational Study

Peng Zhang   1, 2 , PhD ;   Christopher Fonnesbeck   3 , PhD ;   Douglas C Schmidt   1, 2 , PhD ;   Jules White   1 , PhD ;   Samantha Kleinberg   4 , PhD ;   Shelagh A Mulvaney   5, 6, 7 , PhD

1 Department of Computer Science, School of Engineering, Vanderbilt University, Nashville, TN, United States

2 Data Science Institute, Vanderbilt University, Nashville, TN, United States

3 Department of Biostatistics, Vanderbilt University, Nashville, TN, United States

4 Department of Computer Science, Stevens Institute of Technology, Hoboken, NJ, United States

5 Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, United States

6 Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States

7 School of Nursing, Vanderbilt University, Nashville, TN, United States

Corresponding Author:

  • Peng Zhang, PhD
  • Department of Computer Science
  • School of Engineering
  • Vanderbilt University
  • 1400 18th Ave S
  • Rm 2023
  • Nashville, TN, 37212
  • United States
  • Phone: 1 615-343-8630
  • Email: peng.zhang@vanderbilt.edu