This paper is in the following e-collection/theme issue:

Ecological Momentary Assessment (EMA) (239) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1030) mHealth for Data Collection and Research (675) Diabetes Self-Management (368) Glucose Tracking and Self-Monitoring of Blood Glucose (126) Machine Learning (1004)

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

Authors of this article:

Peng Zhang 1, 2 Author Orcid Image ;   Christopher Fonnesbeck 3 Author Orcid Image ;   Douglas C Schmidt 1, 2 Author Orcid Image ;   Jules White 1 Author Orcid Image ;   Samantha Kleinberg 4 Author Orcid Image ;   Shelagh A Mulvaney 5, 6, 7 Author Orcid Image
Article Authors Cited by (1) Tweetations (8) Metrics

Journals

  1. Michalek D, Onengut-Gumuscu S, Repaske D, Rich S. Precision Medicine in Type 1 Diabetes. Journal of the Indian Institute of Science 2023 View