Published on in Vol 8 , No 6 (2020) :June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17730, first published .
Digital Phenotyping Self-Monitoring Behaviors for Individuals With Type 2 Diabetes Mellitus: Observational Study Using Latent Class Growth Analysis

Digital Phenotyping Self-Monitoring Behaviors for Individuals With Type 2 Diabetes Mellitus: Observational Study Using Latent Class Growth Analysis

Digital Phenotyping Self-Monitoring Behaviors for Individuals With Type 2 Diabetes Mellitus: Observational Study Using Latent Class Growth Analysis

Qing Yang 1 , PhD ;   Daniel Hatch 1 , PhD ;   Matthew J Crowley 2, 3 , MD ;   Allison A Lewinski 2 , PhD ;   Jacqueline Vaughn 1 , BSN ;   Dori Steinberg 1 , PhD ;   Allison Vorderstrasse 4 , PhD ;   Meilin Jiang 5 , MSc ;   Ryan J Shaw 1, 6 , PhD

1 Duke University , Durham , NC , US

2 Center of Innovation to Accelerate Discovery and Practice Transformation , Durham Veterans Affairs Medical Center , Duke University , Durham , NC , US

3 Division of Endocrinology, Diabetes and Metabolism , School of Medicine , Duke University , Durham , NC , US

4 College of Nursing , New York University , New York , NY , US

5 Department of Biostatistics , University of Florida , Gainesville , FL , US

6 Center for Applied Genomics and Precision Medicine , School of Medicine , Duke University , Durham , NC , US

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