AI model for predicting asthma prognosis in children.

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Bibliographic Details
Title: AI model for predicting asthma prognosis in children.
Authors: Sagheb E; Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minn., Wi CI; Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minn., King KS; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minn., Agnikula Kshatriya BS; Center for Digital Health, Mayo Clinic, Rochester, Minn., Ryu E; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minn., Liu H; Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minn.; UTHealth Houston, Houston, Tex., Park MA; Department of Allergy and Immunology, Mayo Clinic, Rochester, Minn., Seol HY; Department of Internal Medicine, Pusan National University School of Medicine, Pusan National University Yangsan Hospital, Yangsan-si, Korea., Overgaard SM; Center for Digital Health, Mayo Clinic, Rochester, Minn., Sharma DK; Center for Digital Health, Mayo Clinic, Rochester, Minn., Juhn YJ; Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minn., Sohn S; Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minn.
Source: The journal of allergy and clinical immunology. Global [J Allergy Clin Immunol Glob] 2025 Jan 31; Vol. 4 (2), pp. 100429. Date of Electronic Publication: 2025 Jan 31 (Print Publication: 2025).
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.2025.100429