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AI model for predicting asthma prognosis in children.

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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
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  Data: AI model for predicting asthma prognosis in children.
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  Data: <searchLink fieldCode="AU" term="%22Sagheb+E%22">Sagheb E</searchLink>; Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minn.<br /><searchLink fieldCode="AU" term="%22Wi+CI%22">Wi CI</searchLink>; Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minn.<br /><searchLink fieldCode="AU" term="%22King+KS%22">King KS</searchLink>; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minn.<br /><searchLink fieldCode="AU" term="%22Agnikula+Kshatriya+BS%22">Agnikula Kshatriya BS</searchLink>; Center for Digital Health, Mayo Clinic, Rochester, Minn.<br /><searchLink fieldCode="AU" term="%22Ryu+E%22">Ryu E</searchLink>; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minn.<br /><searchLink fieldCode="AU" term="%22Liu+H%22">Liu H</searchLink>; Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minn.; UTHealth Houston, Houston, Tex.<br /><searchLink fieldCode="AU" term="%22Park+MA%22">Park MA</searchLink>; Department of Allergy and Immunology, Mayo Clinic, Rochester, Minn.<br /><searchLink fieldCode="AU" term="%22Seol+HY%22">Seol HY</searchLink>; Department of Internal Medicine, Pusan National University School of Medicine, Pusan National University Yangsan Hospital, Yangsan-si, Korea.<br /><searchLink fieldCode="AU" term="%22Overgaard+SM%22">Overgaard SM</searchLink>; Center for Digital Health, Mayo Clinic, Rochester, Minn.<br /><searchLink fieldCode="AU" term="%22Sharma+DK%22">Sharma DK</searchLink>; Center for Digital Health, Mayo Clinic, Rochester, Minn.<br /><searchLink fieldCode="AU" term="%22Juhn+YJ%22">Juhn YJ</searchLink>; Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minn.<br /><searchLink fieldCode="AU" term="%22Sohn+S%22">Sohn S</searchLink>; Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minn.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Inc%22">Elsevier Inc </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9918453488706676 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2772-8293 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2227728293%22">27728293 </searchLink><i>NLM ISO Abbreviation: </i>J Allergy Clin Immunol Glob <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.1016/j.jacig.2025.100429
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              Text: 2025 Jan 31
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