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

Diabetes Self-Management (495) mHealth for Telemedicine and Homecare (418) Apps, Mobile, Wearables for Diabetes (306) Glucose Tracking and Self-Monitoring of Blood Glucose (166) Telemedicine for Diabetes (95) 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/44277, first published .
The Effectiveness of an App (Insulia) in Recommending Basal Insulin Doses for French Patients With Type 2 Diabetes Mellitus: Longitudinal Observational Study

The Effectiveness of an App (Insulia) in Recommending Basal Insulin Doses for French Patients With Type 2 Diabetes Mellitus: Longitudinal Observational Study

The Effectiveness of an App (Insulia) in Recommending Basal Insulin Doses for French Patients With Type 2 Diabetes Mellitus: Longitudinal Observational Study

Authors of this article:

Camille Nevoret1 Author Orcid Image ;   Nathalie Gervaise2 Author Orcid Image ;   Brigitte Delemer3 Author Orcid Image ;   Said Bekka4 Author Orcid Image ;   Bruno Detournay1 Author Orcid Image ;   Amine Benkhelil5 Author Orcid Image ;   Amar Bahloul5 Author Orcid Image ;   Geneviève d'Orsay6 Author Orcid Image ;   Alfred Penfornis7 Author Orcid Image
Article Authors Cited by (3) Tweetations (5) Metrics

Journals

  1. Luo E, Wan J, Su M, Wang J, Feng J, Xie X, Hong X. Efficacy of a basal insulin dose management smartphone application for controlling fasting blood glucose in patients with type‐2 diabetes mellitus: A single‐centre, randomised clinical study. Clinical Endocrinology 2023;99(4):361 View
  2. Vangoitsenhoven R, Van der Schueren B. Basal insulin titration by the app. The Lancet Regional Health - Europe 2023;33:100720 View
  3. Nyholm Thomsen C, Kronborg T, Hangaard S, Vestergaard P, Hejlesen O, Jensen M. Modeling the fasting blood glucose response to basal insulin adjustment in type 2 diabetes: An explainable machine learning approach on real-world data. International Journal of Medical Informatics 2024:105758 View