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

• Published in: JMIR AI Vol. 2; p. e44191
• Main Authors: Pongdee, Thanai, Larson, Nicholas B, Divekar, Rohit, Bielinski, Suzette J, Liu, Hongfang, Moon, Sungrim
• Format: Journal Article
• Language: English
• Published: Canada JMIR Publications 12.06.2023
• Subjects: natural language processing algorithm; identification; natural language processing; respiratory illness; aspirin; aspirin exacerbated respiratory disease; asthma; machine learning; electronic health record; artificial intelligence

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...