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

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Bibliographic Details
Published in:JMIR Diabetes
Format: Online Article RSS Article
Published: 2026
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container_title JMIR Diabetes
description
discipline_display Gastroenterology and Hepatology
discipline_facet Gastroenterology and Hepatology
format Online Article
RSS Article
genre Journal Article
id rss_article:71264
institution FRELIP
journal_source_facet JMIR Diabetes
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Predicting Treatment Failure With Sodium-Glucose Cotransporter-2 Inhibitors in People With Type 2 Diabetes: Novel Artificial Intelligence and Machine Learning Approach
Gastroenterology and Hepatology
General
Gastroenterology and Hepatology
sub_discipline_display General
sub_discipline_facet General
subject_display Gastroenterology and Hepatology
General
Gastroenterology and Hepatology
Gastroenterology and Hepatology
General
Gastroenterology and Hepatology
subject_facet Gastroenterology and Hepatology
General
Gastroenterology and Hepatology
title Predicting Treatment Failure With Sodium-Glucose Cotransporter-2 Inhibitors in People With Type 2 Diabetes: Novel Artificial Intelligence and Machine Learning Approach
title_auth Predicting Treatment Failure With Sodium-Glucose Cotransporter-2 Inhibitors in People With Type 2 Diabetes: Novel Artificial Intelligence and Machine Learning Approach
title_full Predicting Treatment Failure With Sodium-Glucose Cotransporter-2 Inhibitors in People With Type 2 Diabetes: Novel Artificial Intelligence and Machine Learning Approach
title_fullStr Predicting Treatment Failure With Sodium-Glucose Cotransporter-2 Inhibitors in People With Type 2 Diabetes: Novel Artificial Intelligence and Machine Learning Approach
title_full_unstemmed Predicting Treatment Failure With Sodium-Glucose Cotransporter-2 Inhibitors in People With Type 2 Diabetes: Novel Artificial Intelligence and Machine Learning Approach
title_short Predicting Treatment Failure With Sodium-Glucose Cotransporter-2 Inhibitors in People With Type 2 Diabetes: Novel Artificial Intelligence and Machine Learning Approach
title_sort predicting treatment failure with sodium-glucose cotransporter-2 inhibitors in people with type 2 diabetes: novel artificial intelligence and machine learning approach
topic Gastroenterology and Hepatology
General
Gastroenterology and Hepatology
url https://diabetes.jmir.org/2026/1/e85372