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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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| Publicat a: | JMIR Med Inform |
|---|---|
| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
JMIR Publications
2020
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| Matèries: | |
| Accés en línia: | 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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