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

Ecological Momentary Assessment (EMA) (309) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1399) mHealth for Data Collection and Research (955) Diabetes Self-Management (484) Glucose Tracking and Self-Monitoring of Blood Glucose (162) Machine Learning (1465)

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 Zhang1, 2 Author Orcid Image ;   Christopher Fonnesbeck3 Author Orcid Image ;   Douglas C Schmidt1, 2 Author Orcid Image ;   Jules White1 Author Orcid Image ;   Samantha Kleinberg4 Author Orcid Image ;   Shelagh A Mulvaney5, 6, 7 Author Orcid Image
Article Authors Cited by (5) Tweetations (8) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.