Published on in Vol 8, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22212, first published .
Real-World Evidence of User Engagement With Mobile Health for Diabetes Management: Longitudinal Observational Study

Real-World Evidence of User Engagement With Mobile Health for Diabetes Management: Longitudinal Observational Study

Real-World Evidence of User Engagement With Mobile Health for Diabetes Management: Longitudinal Observational Study

Journals

  1. Akturk H, Dowd R, Shankar K, Derdzinski M. Real-World Evidence and Glycemic Improvement Using Dexcom G6 Features. Diabetes Technology & Therapeutics 2021;23(S1):S-21 View
  2. Zulj S, Carvalho P, Ribeiro R, Andrade R, Magjarevic R. Data size considerations and hyperparameter choices in case-based reasoning approach to glucose prediction. Biocybernetics and Biomedical Engineering 2021;41(2):733 View
  3. Li J, Yu K, Bao X, Liu X, Yao J. Patterns of eHealth Website User Engagement Based on Cross-site Clickstream Data: Correlational Study. Journal of Medical Internet Research 2021;23(8):e29299 View