Predicting Current Glycated Hemoglobin Levels in Adults From Electronic Health Records: Validation of Multiple Logistic Regression Algorithm

BACKGROUND: Electronic health record (EHR) systems generate large datasets that can significantly enrich the development of medical predictive models. Several attempts have been made to investigate the effect of glycated hemoglobin (HbA(1c)) elevation on the prediction of diabetes onset. However, th...

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Detalles Bibliográficos
Autores principales: Alhassan, Zakhriya, Budgen, David, Alshammari, Riyad, Al Moubayed, Noura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7367516/
https://www.ncbi.nlm.nih.gov/pubmed/32618575
http://dx.doi.org/10.2196/18963

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7367516/
https://www.ncbi.nlm.nih.gov/pubmed/32618575
http://dx.doi.org/10.2196/18963

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