Use of Natural Language Processing of Patient-Initiated Electronic Health Record Messages to Identify Patients With COVID-19 Infection.

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作者： Kellen,Mermin-Bunnell ^[1] ; Yuanda,Zhu ^[2] ; Andrew,Hornback ^[3] ; Gregory,Damhorst ^[4] ; Tiffany,Walker ^[5] ; Chad,Robichaux ^[6] ; Lejy,Mathew ^[5] ; Nour,Jaquemet ^[1] ; Kourtney,Peters ^[7] ; Theodore M,Johnson ^[5] ; May Dongmei,Wang ^[8] ; Blake,Anderson ^[2]

作者单位： Currently a medical student at Emory University School of Medicine, Atlanta, Georgia. ^[1] School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta. ^[2] School of Computational Science and Engineering, Georgia Institute of Technology, Atlanta. ^[3] Division of Infectious Diseases, Emory University School of Medicine, Atlanta, Georgia. ^[4] Division of General Internal Medicine, Emory University School of Medicine, Atlanta, Georgia. ^[5] Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, Georgia. ^[6] Emory University School of Medicine, Atlanta, Georgia. ^[7] Atlanta Veterans Affairs Healthcare System, Decatur, Georgia. ^[8] Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia. ^[9]

主题词男(雄)性(Male);人类(Humans);女(雌)性(Female);中年人(Middle Aged);回顾性研究(Retrospective Studies);队列研究(Cohort Studies);电子健康病历(Electronic Health Records);自然语言处理(Natural Language Processing)

DOI 10.1001/jamanetworkopen.2023.22299

PMID 37418261

发布时间 2024-06-26

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JAMA network open

2023年6卷7期

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Use of Natural Language Processing of Patient-Initiated Electronic Health Record Messages to Identify Patients With COVID-19 Infection.

JAMA network open

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JAMA network open

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Use of Natural Language Processing of Patient-Initiated Electronic Health Record Messages to Identify Patients With COVID-19 Infection.

JAMA network open

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JAMA network open

相关期刊

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