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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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Bibliographische Detailangaben
Veröffentlicht in:JMIR Med Inform
Hauptverfasser: Alhassan, Zakhriya, Budgen, David, Alshammari, Riyad, Al Moubayed, Noura
Format: Artigo
Sprache:Inglês
Veröffentlicht: JMIR Publications 2020
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7367516/
https://ncbi.nlm.nih.gov/pubmed/32618575
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/18963
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