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首页> Journal of medical Internet research> Using Artificial Intelligence With Natural Language Processing to Combine Electronic Health Record's Structured and Free Text Data to Identify Nonvalvular Atrial Fibrillation to Decrease Strokes and Death: Evaluation and Case-Control Study.

Using Artificial Intelligence With Natural Language Processing to Combine Electronic Health Record's Structured and Free Text Data to Identify Nonvalvular Atrial Fibrillation to Decrease Strokes and Death: Evaluation and Case-Control Study.

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作者： Peter L,Elkin ^[1] ; Sarah,Mullin ^[2] ; Jack,Mardekian ^[3] ; Christopher,Crowner ^[1] ; Sylvester,Sakilay ^[4] ; Shyamashree,Sinha ^[1] ; Gary,Brady ^[1] ; Marcia,Wright ^[1] ; Kimberly,Nolen ^[4] ; JoAnn,Trainer ^[4] ; Ross,Koppel ^[4] ; Daniel,Schlegel ^[4] ; Sashank,Kaushik ^[1] ; Jane,Zhao ^[1] ; Buer,Song ^[1] ; Edwin,Anand ^[1]

作者单位： Department of Biomedical Informatics, University at Buffalo, Buffalo, NY, United States. ^[1] Bioinformatics Laboratory, Department of Veterans Affairs, VA Western New York Healthcare System, Buffalo, NY, United States. ^[2] School of Engineering, University of Southern Denmark, Odense, Denmark. ^[3] Pfizer, Inc., New York, NY, United States. ^[4]

关键词 CHA2DS2-VASc HAS-BLED NVAF afib artificial intelligence atrial fibrillation bio-surveillance bleed risk natural language processing stroke risk

主题词老年人(Aged);抗凝药(Anticoagulants);人工智能(Artificial Intelligence);心房颤动(Atrial Fibrillation);病例对照研究(Case-Control Studies);电子健康病历(Electronic Health Records);人类(Humans);自然语言处理(Natural Language Processing);危险性评估(Risk Assessment);危险因素(Risk Factors);卒中(Stroke)

DOI 10.2196/28946

PMID 34751659

发布时间 2023-04-06

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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

Journal of medical Internet research

2021年23卷11期

e28946页

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2021年23卷11期

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