Citation

Please cite as:

Kwak D, Tan X, Liang Y, Swift C, Muhammad C, Shi X

Predicting Treatment Failure With Sodium-Glucose Cotransporter-2 Inhibitors in People With Type 2 Diabetes: Novel Artificial Intelligence and Machine Learning Approach

JMIR Diabetes 2026;11:e85372

DOI: 10.2196/85372

PMID: 42160777

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Accepted for/Published in: JMIR Diabetes

Date Submitted: Oct 9, 2025

Date Accepted: Feb 26, 2026

The final, peer-reviewed published version of this preprint can be found here:

Predicting Treatment Failure With Sodium-Glucose Cotransporter-2 Inhibitors in People With Type 2 Diabetes: Novel Artificial Intelligence and Machine Learning Approach

Kwak D, Tan X, Liang Y, Swift C, Muhammad C, Shi X

Predicting Treatment Failure With Sodium-Glucose Cotransporter-2 Inhibitors in People With Type 2 Diabetes: Novel Artificial Intelligence and Machine Learning Approach

JMIR Diabetes 2026;11:e85372

DOI: 10.2196/85372

PMID: 42160777

Accepted Manuscript

JMIR Publications

JMIR Preprints

Accepted for/Published in: JMIR Diabetes

Date Submitted: Oct 9, 2025

Date Accepted: Feb 26, 2026

JMIR Preprints

Accepted for/Published in: JMIR Diabetes

Date Submitted: Oct 9, 2025

Date Accepted: Feb 26, 2026

Per the author's request this version is not available.