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

#xEndocrinology (6) Apps, Mobile, Wearables for Diabetes (331) Diabetes Self-Management (529) Glucose Tracking and Self-Monitoring of Blood Glucose (181) Sensors for Glucose Monitoring and Diabetes Management (40) Patient Generated Health Data (8)

Published on in Vol 5 (2024)

This is a member publication of University of Bristol (Jisc)

Preprints (earlier versions) of this paper are available at https://arxiv.org/abs/2211.07393v1, first published .
Beyond Expected Patterns in Insulin Needs of People With Type 1 Diabetes: Temporal Analysis of Automated Insulin Delivery Data

Beyond Expected Patterns in Insulin Needs of People With Type 1 Diabetes: Temporal Analysis of Automated Insulin Delivery Data

Beyond Expected Patterns in Insulin Needs of People With Type 1 Diabetes: Temporal Analysis of Automated Insulin Delivery Data

Authors of this article:

Isabella Degen1 Author Orcid Image ;   Kate Robson Brown2 Author Orcid Image ;   Henry W J Reeve3 Author Orcid Image ;   Zahraa S Abdallah4 Author Orcid Image
Article Authors Cited by (5) Tweetations (6) Metrics Author Video

Journals

  1. . Peer Review of “Beyond Expected Patterns in Insulin Needs of People With Type 1 Diabetes: Temporal Analysis of Automated Insulin Delivery Data”. JMIRx Med 2024;5:e67404 View
  2. Degen I, Robson Brown K, Reeve H, Abdallah Z. Authors’ Response to Peer Reviews of “Beyond Expected Patterns in Insulin Needs of People With Type 1 Diabetes: Temporal Analysis of Automated Insulin Delivery Data”. JMIRx Med 2024;5:e66643 View
  3. . Peer Review of “Beyond Expected Patterns in Insulin Needs of People With Type 1 Diabetes: Temporal Analysis of Automated Insulin Delivery Data”. JMIRx Med 2024;5:e66595 View
  4. Carvalho D. Peer Review of “Beyond Expected Patterns in Insulin Needs of People With Type 1 Diabetes: Temporal Analysis of Automated Insulin Delivery Data”. JMIRx Med 2024;5:e66922 View

Conference Proceedings

  1. Gordon James S, Armstrong M, Abdallah Z, Emerson H, O'Kane A. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. Integrating Technology into Self-Management Ecosystems: Young Adults with Type 1 Diabetes in the UK using Smartwatches View