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| Published in: | JMIR Diabetes |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
| Tags: |
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| _version_ | 1867301677809270786 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| 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 |