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 , US

2 Data Science Institute , Vanderbilt University , Nashville , TN , US

3 Department of Biostatistics , Vanderbilt University , Nashville , TN , US

4 Department of Computer Science , Stevens Institute of Technology , Hoboken , NJ , US

5 Department of Pediatrics , Vanderbilt University Medical Center , Nashville , TN , US

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

7 School of Nursing , Vanderbilt University , Nashville , TN , US

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