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

Artificial Intelligence in Diabetes Care and Prevention (58) Machine Learning (2173) Artificial Intelligence (2252) Diabetes (275) Diabetes Health Services and System Innovations (145)

Published on in Vol 11 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/82635, first published .
Predictors of Glycemic Response to Sulfonylurea Therapy in Type 2 Diabetes Over 12 Months: Comparative Analysis of Linear Regression and Machine Learning Models

Predictors of Glycemic Response to Sulfonylurea Therapy in Type 2 Diabetes Over 12 Months: Comparative Analysis of Linear Regression and Machine Learning Models

Predictors of Glycemic Response to Sulfonylurea Therapy in Type 2 Diabetes Over 12 Months: Comparative Analysis of Linear Regression and Machine Learning Models

Authors of this article:

Shilpa Garg1 Author Orcid Image ;   Robert Kitchen2 Author Orcid Image ;   Ramneek Gupta2, 3 Author Orcid Image ;   Emanuele Trucco4 Author Orcid Image ;   Ewan Pearson1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Shilpa Garg   1 , BTech ;   Robert Kitchen   2 , PhD ;   Ramneek Gupta   2, 3 , PhD ;   Emanuele Trucco   4 , PhD ;   Ewan Pearson   1 , MA, MB, BChir, PhD

1 Diabetes Endocrinology and Reproductive Biology, School of Medicine, University of Dundee, Dundee, United Kingdom

2 Novo Nordisk, Oxford, United Kingdom

3 Disease Intelligence Pte Ltd, Singapore, Singapore

4 Computing Department, School of Science and Engineering, University of Dundee, Dundee, United Kingdom

Corresponding Author:

  • Shilpa Garg, BTech
  • Diabetes Endocrinology and Reproductive Biology
  • School of Medicine, University of Dundee
  • Nethergate, Dundee
  • Dundee DD14HN
  • United Kingdom
  • Phone: 44 7443787733
  • Email: shilpa12370@gmail.com