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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
Главные авторы: Alhassan, Zakhriya, Watson, Matthew, Budgen, David, Alshammari, Riyad, Alessa, Ali, Al Moubayed, Noura
Формат: Artigo
Язык:Inglês
Опубликовано: JMIR Publications 2021
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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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