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
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
复制标题
与 2 型糖尿病患者单独编码相比，自然语言处理可以改善病历中非严重低血糖的检测，但不能改善严重低血糖事件的预测：使用电子病历进行分析
DOI：
10.2337/dc19-1791
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发表时间：
2020
期刊：
影响因子：
16.2
通讯作者：
Kattan,MichaelW
中科院分区：
文献类型：
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作者：
Misra-Hebert,AnitaD;Milinovich,Alex;Zajichek,Alex;Ji,Xinge;Hobbs,ToddD;Weng,Wayne;Petraro,Paul;Kong,SheldonX;Mocarski,Michelle;Ganguly,Rahul;Bauman,JanineM;Pantalone,KevinM;Zimmerman,RobertS;Kattan,MichaelW
