Automated Identification of Aspirin-Exacerbated Respiratory Disease Using Natural Language Processing and Machine Learning: Algorithm Development and Evaluation Study

Aspirin-exacerbated respiratory disease (AERD) is an acquired inflammatory condition characterized by the presence of asthma, chronic rhinosinusitis with nasal polyposis, and respiratory hypersensitivity reactions on ingestion of aspirin or other nonsteroidal anti-inflammatory drugs (NSAIDs). Despit...

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Veröffentlicht in:	JMIR AI Jg. 2; S. e44191
Hauptverfasser:	Pongdee, Thanai, Larson, Nicholas B, Divekar, Rohit, Bielinski, Suzette J, Liu, Hongfang, Moon, Sungrim
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Canada JMIR Publications 12.06.2023
Schlagworte:	natural language processing algorithm identification natural language processing respiratory illness aspirin aspirin exacerbated respiratory disease asthma machine learning electronic health record artificial intelligence
ISSN:	2817-1705, 2817-1705
Online-Zugang:	Volltext
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