Validation of syncope short-term outcomes prediction by machine learning models in an Italian emergency department cohort.
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| Title: | Validation of syncope short-term outcomes prediction by machine learning models in an Italian emergency department cohort. |
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| Authors: | Levra AG; Department of Cardiovascular Medicine, Humanitas Research Hospital, IRCCS, Rozzano, Milan, Italy.; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy., Gatti M; IBM, Milan, Italy., Mene R; Roberto Mene Electrophysiology Unit, Niguarda Hospital, Milan, Italy., Shiffer D; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.; Emergency Department, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy., Costantino G; Emergency Department, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Università degli Studi di Milano, Milan, Italy., Solbiati M; Emergency Department, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Università degli Studi di Milano, Milan, Italy., Furlan R; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy. raffaello.furlan@hunimed.eu.; Internal Medicine, Syncope Unit, IRCCS. Humanitas Research Hospital, Via A. Manzoni, 56, Rozzano, 20089, Milan, Italy. raffaello.furlan@hunimed.eu., Dipaola F; Internal Medicine, Syncope Unit, IRCCS. Humanitas Research Hospital, Via A. Manzoni, 56, Rozzano, 20089, Milan, Italy. |
| Source: | Internal and emergency medicine [Intern Emerg Med] 2025 Aug; Vol. 20 (5), pp. 1597-1605. Date of Electronic Publication: 2025 Jul 16. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Springer Country of Publication: Italy NLM ID: 101263418 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1970-9366 (Electronic) Linking ISSN: 18280447 NLM ISO Abbreviation: Intern Emerg Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40668516 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Validation of syncope short-term outcomes prediction by machine learning models in an Italian emergency department cohort. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Levra+AG%22">Levra AG</searchLink>; Department of Cardiovascular Medicine, Humanitas Research Hospital, IRCCS, Rozzano, Milan, Italy.; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Gatti+M%22">Gatti M</searchLink>; IBM, Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Mene+R%22">Mene R</searchLink>; Roberto Mene Electrophysiology Unit, Niguarda Hospital, Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Shiffer+D%22">Shiffer D</searchLink>; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.; Emergency Department, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Costantino+G%22">Costantino G</searchLink>; Emergency Department, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Università degli Studi di Milano, Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Solbiati+M%22">Solbiati M</searchLink>; Emergency Department, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Università degli Studi di Milano, Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Furlan+R%22">Furlan R</searchLink>; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy. raffaello.furlan@hunimed.eu.; Internal Medicine, Syncope Unit, IRCCS. Humanitas Research Hospital, Via A. Manzoni, 56, Rozzano, 20089, Milan, Italy. raffaello.furlan@hunimed.eu.<br /><searchLink fieldCode="AU" term="%22Dipaola+F%22">Dipaola F</searchLink>; Internal Medicine, Syncope Unit, IRCCS. Humanitas Research Hospital, Via A. Manzoni, 56, Rozzano, 20089, Milan, Italy. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101263418%22">Internal and emergency medicine</searchLink> [Intern Emerg Med] 2025 Aug; Vol. 20 (5), pp. 1597-1605. <i>Date of Electronic Publication: </i>2025 Jul 16. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>Italy <i>NLM ID: </i>101263418 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1970-9366 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2218280447%22">18280447 </searchLink><i>NLM ISO Abbreviation: </i>Intern Emerg Med <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40668516 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11739-025-04034-x Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 1597 Titles: – TitleFull: Validation of syncope short-term outcomes prediction by machine learning models in an Italian emergency department cohort. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Levra AG – PersonEntity: Name: NameFull: Gatti M – PersonEntity: Name: NameFull: Mene R – PersonEntity: Name: NameFull: Shiffer D – PersonEntity: Name: NameFull: Costantino G – PersonEntity: Name: NameFull: Solbiati M – PersonEntity: Name: NameFull: Furlan R – PersonEntity: Name: NameFull: Dipaola F IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: 2025 Aug Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1970-9366 Numbering: – Type: volume Value: 20 – Type: issue Value: 5 Titles: – TitleFull: Internal and emergency medicine Type: main |
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