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Identifying Asthma-Related Symptoms From Electronic Health Records Using a Hybrid Natural Language Processing Approach Within a Large Integrated Health Care System: Retrospective Study.

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第一作者： Fagen,Xie

第一单位： Department of Research and Evaluation, Kaiser Permanente South California, 100 S Los Robles Ave, 2nd Floor, Pasadena, CA, 91101, United States, 1 626-564-3294.

作者： Fagen,Xie ^[1] ; Robert S,Zeiger ^[2] ; Mary Marycania,Saparudin ^[1] ; Sahar,Al-Salman ^[1] ; Eric,Puttock ^[1] ; William,Crawford ^[3] ; Michael,Schatz ^[2] ; Stanley,Xu ^[1] ; William M,Vollmer ^[4] ; Wansu,Chen ^[1]

作者单位： Department of Research and Evaluation, Kaiser Permanente South California, 100 S Los Robles Ave, 2nd Floor, Pasadena, CA, 91101, United States, 1 626-564-3294. ^[1] Department of Allergy, Kaiser Permanente South California, San Diego, CA, United States.;Department of Clinical Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, United States. ^[2] Department of Allergy, Kaiser Permanente South California, Harbor City, CA, United States. ^[3] Kaiser Permanente Center for Health Research, Portland, OR, United States. ^[4]

关键词 asthma electronic health record natural language processing rule-based algorithm symptom extraction transformer-based algorithm

DOI 10.2196/69132

PMID 40611521

发布时间 2025-07-10

基金项目

R01 HL163049/HL/NHLBI NIH HHS/United States

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Identifying Asthma-Related Symptoms From Electronic Health Records Using a Hybrid Natural Language Processing Approach Within a Large Integrated Health Care System: Retrospective Study.

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Identifying Asthma-Related Symptoms From Electronic Health Records Using a Hybrid Natural Language Processing Approach Within a Large Integrated Health Care System: Retrospective Study.

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