InfEHR: Clinical phenotype resolution through deep geometric learning on electronic health records.
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| Title: | InfEHR: Clinical phenotype resolution through deep geometric learning on electronic health records. |
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| Authors: | Kauffman J; The Windreich Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.; The Hasso Plattner Institute of Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.; The Charles Bronfman Institute for Personalized Medicine at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.; Department of Data-Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA., Holmes E; The Charles Bronfman Institute for Personalized Medicine at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.; Department of Data-Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.; Institute for Critical Care Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.; Division of Newborn Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA., Vaid A; The Windreich Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.; The Hasso Plattner Institute of Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.; The Charles Bronfman Institute for Personalized Medicine at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.; Department of Data-Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA., Charney AW; The Charles Bronfman Institute for Personalized Medicine at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York City, New York, USA., Kovatch P; The Windreich Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.; The Hasso Plattner Institute of Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.; The Charles Bronfman Institute for Personalized Medicine at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.; Department of Data-Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA., Lampert J; The Charles Bronfman Institute for Personalized Medicine at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.; Department of Data-Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.; Valentin Fuster Heart Hospital, Icahn School of Medicine at Mount Sinai, New York City, NY, USA., Sakhuja A; The Windreich Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.; The Hasso Plattner Institute of Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.; The Charles Bronfman Institute for Personalized Medicine at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.; Department of Data-Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.; Institute for Critical Care Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA., Zitnik M; Broad Institute of MIT and Harvard, Cambridge, MA, USA.; Harvard Data Science Initiative, Harvard University, Cambridge, MA, USA.; Kempner Institute for the Study of Natural and Artificial Intelligence, Harvard University, Cambridge, MA, USA., Glicksberg BS; The Windreich Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.; The Hasso Plattner Institute of Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.; The Charles Bronfman Institute for Personalized Medicine at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.; Department of Data-Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA., Hofer I; The Windreich Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.; The Hasso Plattner Institute of Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.; The Charles Bronfman Institute for Personalized Medicine at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.; Department of Data-Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.; Department of Surgery, Icahn School of Medicine at Mount Sinai, New York City, New York, USA., Nadkarni GN; The Windreich Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York City, NY, USA. girish.nadkarni@mountsinai.org.; The Hasso Plattner Institute of Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York City, NY, USA. girish.nadkarni@mountsinai.org.; The Charles Bronfman Institute for Personalized Medicine at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York City, New York, USA. girish.nadkarni@mountsinai.org.; Department of Data-Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA. girish.nadkarni@mountsinai.org.; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York City, New York, USA. girish.nadkarni@mountsinai.org. |
| Source: | Nature communications [Nat Commun] 2025 Sep 26; Vol. 16 (1), pp. 8475. Date of Electronic Publication: 2025 Sep 26. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41006287 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: InfEHR: Clinical phenotype resolution through deep geometric learning on electronic health records. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Kauffman+J%22">Kauffman J</searchLink>; The Windreich Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.; The Hasso Plattner Institute of Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.; The Charles Bronfman Institute for Personalized Medicine at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.; Department of Data-Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.<br /><searchLink fieldCode="AU" term="%22Holmes+E%22">Holmes E</searchLink>; The Charles Bronfman Institute for Personalized Medicine at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.; Department of Data-Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.; Institute for Critical Care Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.; Division of Newborn Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.<br /><searchLink fieldCode="AU" term="%22Vaid+A%22">Vaid A</searchLink>; The Windreich Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.; The Hasso Plattner Institute of Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.; The Charles Bronfman Institute for Personalized Medicine at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.; Department of Data-Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.<br /><searchLink fieldCode="AU" term="%22Charney+AW%22">Charney AW</searchLink>; The Charles Bronfman Institute for Personalized Medicine at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.<br /><searchLink fieldCode="AU" term="%22Kovatch+P%22">Kovatch P</searchLink>; The Windreich Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.; The Hasso Plattner Institute of Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.; The Charles Bronfman Institute for Personalized Medicine at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.; Department of Data-Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.<br /><searchLink fieldCode="AU" term="%22Lampert+J%22">Lampert J</searchLink>; The Charles Bronfman Institute for Personalized Medicine at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.; Department of Data-Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.; Valentin Fuster Heart Hospital, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.<br /><searchLink fieldCode="AU" term="%22Sakhuja+A%22">Sakhuja A</searchLink>; The Windreich Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.; The Hasso Plattner Institute of Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.; The Charles Bronfman Institute for Personalized Medicine at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.; Department of Data-Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.; Institute for Critical Care Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.<br /><searchLink fieldCode="AU" term="%22Zitnik+M%22">Zitnik M</searchLink>; Broad Institute of MIT and Harvard, Cambridge, MA, USA.; Harvard Data Science Initiative, Harvard University, Cambridge, MA, USA.; Kempner Institute for the Study of Natural and Artificial Intelligence, Harvard University, Cambridge, MA, USA.<br /><searchLink fieldCode="AU" term="%22Glicksberg+BS%22">Glicksberg BS</searchLink>; The Windreich Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.; The Hasso Plattner Institute of Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.; The Charles Bronfman Institute for Personalized Medicine at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.; Department of Data-Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.<br /><searchLink fieldCode="AU" term="%22Hofer+I%22">Hofer I</searchLink>; The Windreich Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.; The Hasso Plattner Institute of Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.; The Charles Bronfman Institute for Personalized Medicine at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.; Department of Data-Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.; Department of Surgery, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.<br /><searchLink fieldCode="AU" term="%22Nadkarni+GN%22">Nadkarni GN</searchLink>; The Windreich Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York City, NY, USA. girish.nadkarni@mountsinai.org.; The Hasso Plattner Institute of Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York City, NY, USA. girish.nadkarni@mountsinai.org.; The Charles Bronfman Institute for Personalized Medicine at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York City, New York, USA. girish.nadkarni@mountsinai.org.; Department of Data-Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA. girish.nadkarni@mountsinai.org.; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York City, New York, USA. girish.nadkarni@mountsinai.org. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101528555%22">Nature communications</searchLink> [Nat Commun] 2025 Sep 26; Vol. 16 (1), pp. 8475. <i>Date of Electronic Publication: </i>2025 Sep 26. – 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="%22Nature+Pub%2E+Group%22">Nature Pub. Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101528555 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2041-1723 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220411723%22">20411723 </searchLink><i>NLM ISO Abbreviation: </i>Nat Commun <i>Subsets: </i>MEDLINE |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41467-025-63366-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 8475 Titles: – TitleFull: InfEHR: Clinical phenotype resolution through deep geometric learning on electronic health records. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kauffman J – PersonEntity: Name: NameFull: Holmes E – PersonEntity: Name: NameFull: Vaid A – PersonEntity: Name: NameFull: Charney AW – PersonEntity: Name: NameFull: Kovatch P – PersonEntity: Name: NameFull: Lampert J – PersonEntity: Name: NameFull: Sakhuja A – PersonEntity: Name: NameFull: Zitnik M – PersonEntity: Name: NameFull: Glicksberg BS – PersonEntity: Name: NameFull: Hofer I – PersonEntity: Name: NameFull: Nadkarni GN IsPartOfRelationships: – BibEntity: Dates: – D: 26 M: 09 Text: 2025 Sep 26 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 2041-1723 Numbering: – Type: volume Value: 16 – Type: issue Value: 1 Titles: – TitleFull: Nature communications Type: main |
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