Natural Language Processing Improves Detection of Nonsevere Hypoglycemia in Medical Records Versus Coding Alone in Patients With Type 2 Diabetes but Does Not Improve Prediction of Severe Hypoglycemia Events: An Analysis Using the Electronic Medical Record in a Large Health System

OBJECTIVE: To determine if natural language processing (NLP) improves detection of nonsevere hypoglycemia (NSH) in patients with type 2 diabetes and no NSH documentation by diagnosis codes and to measure if NLP detection improves the prediction of future severe hypoglycemia (SH). RESEARCH DESIGN AND...

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Detalles Bibliográficos
Autores principales: Misra-Hebert, Anita D., Milinovich, Alex, Zajichek, Alex, Ji, Xinge, Hobbs, Todd D., Weng, Wayne, Petraro, Paul, Kong, Sheldon X., Mocarski, Michelle, Ganguly, Rahul, Bauman, Janine M., Pantalone, Kevin M., Zimmerman, Robert S., Kattan, Michael W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Diabetes Association 2020
Materias:
Novel Communications in Diabetes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7372042/
https://www.ncbi.nlm.nih.gov/pubmed/32414887
http://dx.doi.org/10.2337/dc19-1791

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7372042/
https://www.ncbi.nlm.nih.gov/pubmed/32414887
http://dx.doi.org/10.2337/dc19-1791

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