Natural Language Processing and Machine Learning for Identifying Incident Stroke From Electronic Health Records: Algorithm Development and Validation.

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作者： Yiqing,Zhao ^[1] ; Sunyang,Fu ^[1] ; Suzette J,Bielinski ^[1] ; Paul A,Decker ^[1] ; Alanna M,Chamberlain ^[1] ; Veronique L,Roger ^[1] ; Hongfang,Liu ^[1] ; Nicholas B,Larson ^[1]

作者单位： Department of Health Sciences Research, Mayo Clinic, Rochester, MN, United States. ^[1]

关键词 electronic health records machine learning natural language processing stroke

主题词算法(Algorithms);电子健康病历(Electronic Health Records);人类(Humans);自然语言处理(Natural Language Processing);卒中(Stroke)

DOI 10.2196/22951

PMID 33683212

发布时间 2021-09-29

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准确一般字义偏差语意偏离译文作用小提交

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Journal of medical Internet research

2021年23卷3期

e22951页

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Natural Language Processing and Machine Learning for Identifying Incident Stroke From Electronic Health Records: Algorithm Development and Validation.

Journal of medical Internet research

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Natural Language Processing and Machine Learning for Identifying Incident Stroke From Electronic Health Records: Algorithm Development and Validation.

Journal of medical Internet research

相似文献

Journal of medical Internet research

相关期刊

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