Deploying machine learning models in clinical settings: a real-world feasibility analysis for a model identifying adult-onset type 1 diabetes initially classified as type 2.
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| Title: | Deploying machine learning models in clinical settings: a real-world feasibility analysis for a model identifying adult-onset type 1 diabetes initially classified as type 2. |
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| Authors: | Brusini I; AI for Healthcare & MedTech, IQVIA, London W2 1AF, United Kingdom., Lee S; AI for Healthcare & MedTech, IQVIA, Wayne, PA 19087, United States., Hollingsworth J; AI for Healthcare & MedTech, IQVIA, Wayne, PA 19087, United States., Sees A; AI for Healthcare & MedTech, IQVIA, Wayne, PA 19087, United States., Hackenberg M; AI for Healthcare & MedTech, IQVIA, Wayne, PA 19087, United States., Scherpbier H; HealthShare Exchange (HSX), Philadelphia, PA 19106, United States., López-Díez R; Breakthrough T1D (Formerly JDRF International), New York, NY 10281, United States., Leavitt N; AI for Healthcare & MedTech, IQVIA, Wayne, PA 19087, United States. |
| Source: | JAMIA open [JAMIA Open] 2025 Oct 26; Vol. 8 (5), pp. ooaf133. Date of Electronic Publication: 2025 Oct 26 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Oxford University Press on behalf of the American Medical Informatics Association Country of Publication: United States NLM ID: 101730643 Publication Model: eCollection Cited Medium: Internet ISSN: 2574-2531 (Electronic) Linking ISSN: 25742531 NLM ISO Abbreviation: JAMIA Open Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41158612 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Deploying machine learning models in clinical settings: a real-world feasibility analysis for a model identifying adult-onset type 1 diabetes initially classified as type 2. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Brusini+I%22">Brusini I</searchLink>; AI for Healthcare & MedTech, IQVIA, London W2 1AF, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Lee+S%22">Lee S</searchLink>; AI for Healthcare & MedTech, IQVIA, Wayne, PA 19087, United States.<br /><searchLink fieldCode="AU" term="%22Hollingsworth+J%22">Hollingsworth J</searchLink>; AI for Healthcare & MedTech, IQVIA, Wayne, PA 19087, United States.<br /><searchLink fieldCode="AU" term="%22Sees+A%22">Sees A</searchLink>; AI for Healthcare & MedTech, IQVIA, Wayne, PA 19087, United States.<br /><searchLink fieldCode="AU" term="%22Hackenberg+M%22">Hackenberg M</searchLink>; AI for Healthcare & MedTech, IQVIA, Wayne, PA 19087, United States.<br /><searchLink fieldCode="AU" term="%22Scherpbier+H%22">Scherpbier H</searchLink>; HealthShare Exchange (HSX), Philadelphia, PA 19106, United States.<br /><searchLink fieldCode="AU" term="%22López-Díez+R%22">López-Díez R</searchLink>; Breakthrough T1D (Formerly JDRF International), New York, NY 10281, United States.<br /><searchLink fieldCode="AU" term="%22Leavitt+N%22">Leavitt N</searchLink>; AI for Healthcare & MedTech, IQVIA, Wayne, PA 19087, United States. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101730643%22">JAMIA open</searchLink> [JAMIA Open] 2025 Oct 26; Vol. 8 (5), pp. ooaf133. <i>Date of Electronic Publication: </i>2025 Oct 26 (<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="%22Oxford+University+Press+on+behalf+of+the+American+Medical+Informatics+Association%22">Oxford University Press on behalf of the American Medical Informatics Association </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101730643 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2574-2531 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2225742531%22">25742531 </searchLink><i>NLM ISO Abbreviation: </i>JAMIA Open <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41158612 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1093/jamiaopen/ooaf133 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: ooaf133 Titles: – TitleFull: Deploying machine learning models in clinical settings: a real-world feasibility analysis for a model identifying adult-onset type 1 diabetes initially classified as type 2. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Brusini I – PersonEntity: Name: NameFull: Lee S – PersonEntity: Name: NameFull: Hollingsworth J – PersonEntity: Name: NameFull: Sees A – PersonEntity: Name: NameFull: Hackenberg M – PersonEntity: Name: NameFull: Scherpbier H – PersonEntity: Name: NameFull: López-Díez R – PersonEntity: Name: NameFull: Leavitt N IsPartOfRelationships: – BibEntity: Dates: – D: 26 M: 10 Text: 2025 Oct 26 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 2574-2531 Numbering: – Type: volume Value: 8 – Type: issue Value: 5 Titles: – TitleFull: JAMIA open Type: main |
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