Application of a natural language processing algorithm to early asthma ascertainment for adults in the era of electronic health records.

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Bibliographic Details
Title: Application of a natural language processing algorithm to early asthma ascertainment for adults in the era of electronic health records.
Authors: Wi CI; Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minn.; Precision Population Science Lab, Mayo Clinic, Rochester, Minn., Pongdee T; Division of Allergic diseases, Mayo Clinic, Rochester, Minn., Seol HY; Department of Internal Medicine, Pusan National University Yangsan Hospital, Yangsan, Korea., Sohn S; Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minn., Sagheb E; Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minn., Agnikula Kshatriya BS; Center for Digital Health, Mayo Clinic, Rochester, Minn., Overgaard SM; Center for Digital Health, Mayo Clinic, Rochester, Minn., Sharma DK; Center for Digital Health, Mayo Clinic, Rochester, Minn., Moon S; Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minn., Krusemark EA; Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minn.; Precision Population Science Lab, Mayo Clinic, Rochester, Minn., Watson D; Division of Clinical Trial and Biostatistics, Mayo Clinic, Rochester, Minn., Chiarella SE; Division of Allergic diseases, Mayo Clinic, Rochester, Minn., Park MA; Division of Allergic diseases, Mayo Clinic, Rochester, Minn., Greenwood JD; Department of Family Medicine, Mayo Clinic, Rochester, Minn., Foss RM; Family Medicine, Mayo Clinic Health System, Lake City, Minn., Liu Z; Department of Computational Sciences, Texas Children's Hospital, Houston, Tex., Gupta M; Division of Immunology, Allergy, and Retrovirology, Baylor College of Medicine, Houston, Tex., Davis CM; Division of Immunology, Allergy, and Retrovirology, Baylor College of Medicine, Houston, Tex.; Department of Pediatrics and Child Health, Howard University, Washington, DC., Schulz W; Department of Informatics, Laboratory Medicine, Yale School of Medicine, New Haven, Conn., Liu H; McWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Tex., Juhn YJ; Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minn.; Precision Population Science Lab, Mayo Clinic, Rochester, Minn.; Department of Internal Medicine, Mayo Clinic, Rochester, Minn.
Source: The journal of allergy and clinical immunology. Global [J Allergy Clin Immunol Glob] 2025 Nov 26; Vol. 5 (2), pp. 100618. Date of Electronic Publication: 2025 Nov 26 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Inc Country of Publication: United States NLM ID: 9918453488706676 Publication Model: eCollection Cited Medium: Internet ISSN: 2772-8293 (Electronic) Linking ISSN: 27728293 NLM ISO Abbreviation: J Allergy Clin Immunol Glob Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2772-8293
DOI:10.1016/j.jacig.2025.100618