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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Detalles Bibliográficos
Autores principales: Alhassan, Zakhriya, Watson, Matthew, Budgen, David, Alshammari, Riyad, Alessa, Ali, Al Moubayed, Noura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8185616/
https://www.ncbi.nlm.nih.gov/pubmed/34028357
http://dx.doi.org/10.2196/25237

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8185616/
https://www.ncbi.nlm.nih.gov/pubmed/34028357
http://dx.doi.org/10.2196/25237

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