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

Diabetes Self-Management (495) Apps, Mobile, Wearables for Diabetes (306) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1428)

Published on in Vol 8 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41501, first published .
Understanding Patient Beliefs in Using Technology to Manage Diabetes: Path Analysis Model From a National Web-Based Sample

Understanding Patient Beliefs in Using Technology to Manage Diabetes: Path Analysis Model From a National Web-Based Sample

Understanding Patient Beliefs in Using Technology to Manage Diabetes: Path Analysis Model From a National Web-Based Sample

Authors of this article:

Karim Zahed1 Author Orcid Image ;   Ranjana Mehta1 Author Orcid Image ;   Madhav Erraguntla1 Author Orcid Image ;   Khalid Qaraqe2 Author Orcid Image ;   Farzan Sasangohar1, 3 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Dave D, Vyas K, Cote G, Erraguntla M. Hypoglycemia and hyperglycemia detection using ECG: A multi-threshold based personalized fusion model. Biomedical Signal Processing and Control 2024;96:106569 View