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| Published in: | JMIR Diabetes |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1868552995504914433 |
|---|---|
| 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 |
| last_indexed | 2026-06-20T21:29:57.061Z |
| 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 |
| 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_alt | Predicción del Fracaso del Tratamiento con Inhibidores del Cotransportador Sodio-Glucosa-2 en Personas con Diabetes Tipo 2: Nuevo Enfoque de Inteligencia Artificial y Aprendizaje Automático Prédiction de l'échec du traitement par inhibiteurs du cotransporteur sodium-glucose de type 2 chez les personnes atteintes de diabète de type 2 : nouvelle approche d'intelligence artificielle et d'apprentissage automatique Prevendo Falha de Tratamento com Inibidores do Cotransportador Sódio-Glicose 2 em Pessoas com Diabetes Tipo 2: Nova Abordagem de Inteligência Artificial e Aprendizado de Máquina |
| 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_es_txt | Predicción del Fracaso del Tratamiento con Inhibidores del Cotransportador Sodio-Glucosa-2 en Personas con Diabetes Tipo 2: Nuevo Enfoque de Inteligencia Artificial y Aprendizaje Automático |
| title_fr_txt | Prédiction de l'échec du traitement par inhibiteurs du cotransporteur sodium-glucose de type 2 chez les personnes atteintes de diabète de type 2 : nouvelle approche d'intelligence artificielle et d'apprentissage automatique |
| 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_pt_txt | Prevendo Falha de Tratamento com Inibidores do Cotransportador Sódio-Glicose 2 em Pessoas com Diabetes Tipo 2: Nova Abordagem de Inteligência Artificial e Aprendizado de Máquina |
| 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 |