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Improving Current Glycated Hemoglobin Prediction in Adults: Use of Machine Learning Algorithms With Electronic Health Records
BACKGROUND: Predicting the risk of glycated hemoglobin (HbA(1c)) elevation can help identify patients with the potential for developing serious chronic health problems, such as diabetes. Early preventive interventions based upon advanced predictive models using electronic health records data for ide...
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| Опубликовано в: : | JMIR Med Inform |
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| Главные авторы: | , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
JMIR Publications
2021
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8185616/ https://ncbi.nlm.nih.gov/pubmed/34028357 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/25237 |
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