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Predicting Risk of Hypoglycemia in Patients With Type 2 Diabetes by Electronic Health Record–Based Machine Learning: Development and Validation
BACKGROUND: Hypoglycemia is a common adverse event in the treatment of diabetes. To efficiently cope with hypoglycemia, effective hypoglycemia prediction models need to be developed. OBJECTIVE: The aim of this study was to develop and validate machine learning models to predict the risk of hypoglyce...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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JMIR Publications
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9247813/ https://www.ncbi.nlm.nih.gov/pubmed/35708754 http://dx.doi.org/10.2196/36958 |