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

Formative Evaluation of Digital Health Interventions (3229) Artificial Intelligence (2129) Machine Learning (2076) Mobile Health (mhealth) (3464) Artificial Intelligence in Diabetes Care and Prevention (54) Apps, Mobile, Wearables for Diabetes (364) Diabetes Prevention (117)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50328, first published .
A Mobile App That Addresses Interpretability Challenges in Machine Learning–Based Diabetes Predictions: Survey-Based User Study

A Mobile App That Addresses Interpretability Challenges in Machine Learning–Based Diabetes Predictions: Survey-Based User Study

A Mobile App That Addresses Interpretability Challenges in Machine Learning–Based Diabetes Predictions: Survey-Based User Study

Authors of this article:

Rasha Hendawi1 Author Orcid Image ;   Juan Li1 Author Orcid Image ;   Souradip Roy1 Author Orcid Image
Article Authors Cited by (9) Tweetations (2) Metrics

Journals

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  8. Ghosh K, Chandra S, Ghosh S, Ghosh U. Artificial Intelligence in Personalized Medicine for Diabetes Mellitus: A Narrative Review. Cureus 2025 View
  9. Hameed Mousa A, Oday Alrubaye I, S. Kadhim M, Dheyaa Radhi A, M. Al-Slivani M, Mansoor Al-Amri R, Geok Pheng L. Diabetes at a Glance: Assessing AI Strategies for Early Diabetes Detection and Intervention via a Mobile App. Mesopotamian Journal of Computer Science 2025;2025:288 View