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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Vydáno v:	JMIR AI Ročník 2; s. e44191
Hlavní autoři:	Pongdee, Thanai, Larson, Nicholas B, Divekar, Rohit, Bielinski, Suzette J, Liu, Hongfang, Moon, Sungrim
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Canada JMIR Publications 12.06.2023
Témata:	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
On-line přístup:	Získat plný text
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