Detection and prediction of real-world severe asthma phenotypes by application of machine learning to electronic health records.
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| Title: | Detection and prediction of real-world severe asthma phenotypes by application of machine learning to electronic health records. |
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| Authors: | Bağcı MF; Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, Calif.; Department of Electrical and Computer Engineering, San Diego State University, San Diego, Calif., Do T; Department of Allergy & Immunology, University of California San Diego School of Medicine, San Diego, Calif., Spierling Bagsic SR; Department of Research Development, Scripps Health, San Diego, Calif., Gomez RF; Department of Knowledge Management, Scripps Health, San Diego, Calif., Jun JH; Department of Knowledge Management, Scripps Health, San Diego, Calif., Ritko AL; Department of Internal Medicine, Scripps Health, San Diego, Calif., Wenzel SE; University of Pittsburgh, Pittsburgh, Pa., Nguyen T; Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, Calif., Öztürk Y; Department of Electrical and Computer Engineering, San Diego State University, San Diego, Calif., Modena BD; Modena Allergy + Asthma, La Jolla, Calif. |
| Source: | The journal of allergy and clinical immunology. Global [J Allergy Clin Immunol Glob] 2025 Apr 17; Vol. 4 (3), pp. 100473. Date of Electronic Publication: 2025 Apr 17 (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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40476091 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Detection and prediction of real-world severe asthma phenotypes by application of machine learning to electronic health records. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Bağcı+MF%22">Bağcı MF</searchLink>; Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, Calif.; Department of Electrical and Computer Engineering, San Diego State University, San Diego, Calif.<br /><searchLink fieldCode="AU" term="%22Do+T%22">Do T</searchLink>; Department of Allergy & Immunology, University of California San Diego School of Medicine, San Diego, Calif.<br /><searchLink fieldCode="AU" term="%22Spierling+Bagsic+SR%22">Spierling Bagsic SR</searchLink>; Department of Research Development, Scripps Health, San Diego, Calif.<br /><searchLink fieldCode="AU" term="%22Gomez+RF%22">Gomez RF</searchLink>; Department of Knowledge Management, Scripps Health, San Diego, Calif.<br /><searchLink fieldCode="AU" term="%22Jun+JH%22">Jun JH</searchLink>; Department of Knowledge Management, Scripps Health, San Diego, Calif.<br /><searchLink fieldCode="AU" term="%22Ritko+AL%22">Ritko AL</searchLink>; Department of Internal Medicine, Scripps Health, San Diego, Calif.<br /><searchLink fieldCode="AU" term="%22Wenzel+SE%22">Wenzel SE</searchLink>; University of Pittsburgh, Pittsburgh, Pa.<br /><searchLink fieldCode="AU" term="%22Nguyen+T%22">Nguyen T</searchLink>; Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, Calif.<br /><searchLink fieldCode="AU" term="%22Öztürk+Y%22">Öztürk Y</searchLink>; Department of Electrical and Computer Engineering, San Diego State University, San Diego, Calif.<br /><searchLink fieldCode="AU" term="%22Modena+BD%22">Modena BD</searchLink>; Modena Allergy + Asthma, La Jolla, Calif. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229918453488706676%22">The journal of allergy and clinical immunology. Global</searchLink> [J Allergy Clin Immunol Glob] 2025 Apr 17; Vol. 4 (3), pp. 100473. <i>Date of Electronic Publication: </i>2025 Apr 17 (<i>Print Publication: </i>2025). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src 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 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40476091 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.jacig.2025.100473 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 100473 Titles: – TitleFull: Detection and prediction of real-world severe asthma phenotypes by application of machine learning to electronic health records. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bağcı MF – PersonEntity: Name: NameFull: Do T – PersonEntity: Name: NameFull: Spierling Bagsic SR – PersonEntity: Name: NameFull: Gomez RF – PersonEntity: Name: NameFull: Jun JH – PersonEntity: Name: NameFull: Ritko AL – PersonEntity: Name: NameFull: Wenzel SE – PersonEntity: Name: NameFull: Nguyen T – PersonEntity: Name: NameFull: Öztürk Y – PersonEntity: Name: NameFull: Modena BD IsPartOfRelationships: – BibEntity: Dates: – D: 17 M: 04 Text: 2025 Apr 17 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 2772-8293 Numbering: – Type: volume Value: 4 – Type: issue Value: 3 Titles: – TitleFull: The journal of allergy and clinical immunology. Global Type: main |
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