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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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書誌詳細
出版年:Diabetes Care
主要な著者: 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.
フォーマット: Artigo
言語:Inglês
出版事項: American Diabetes Association 2020
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC7372042/
https://ncbi.nlm.nih.gov/pubmed/32414887
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2337/dc19-1791
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