Prediction of 90 day mortality in elderly patients with acute HF from e-health records using artificial intelligence.
Saved in:
| Title: | Prediction of 90 day mortality in elderly patients with acute HF from e-health records using artificial intelligence. |
|---|---|
| Authors: | Weller J; Direction of Medical Information, Prospects and Data Sciences, Hôpitaux Paris Saint-Joseph and Marie-Lannelongue, Paris, France., Gutton J; Direction of Medical Information, Prospects and Data Sciences, Hôpitaux Paris Saint-Joseph and Marie-Lannelongue, Paris, France., Hocquet G; Direction of Medical Information, Prospects and Data Sciences, Hôpitaux Paris Saint-Joseph and Marie-Lannelongue, Paris, France., Pellet L; Direction of Medical Information, Prospects and Data Sciences, Hôpitaux Paris Saint-Joseph and Marie-Lannelongue, Paris, France., Aroulanda MJ; Department of Cardiology, Hôpital Paris Saint-Joseph, Paris, France., Bruandet A; Department of Medical Information, CHU Lille, Lille, France., Theis D; Department of Medical Information, CHU Lille, Lille, France., Boudis F; Department of Medical Information, CHU Lille, Lille, France., Cador R; Department of Cardiology, Hôpital Paris Saint-Joseph, Paris, France., Zweigenbaum P; LISN Research Center, Université Paris-Saclay, Paris, France., Buronfosse A; Direction of Medical Information, Prospects and Data Sciences, Hôpitaux Paris Saint-Joseph and Marie-Lannelongue, Paris, France., de Groote P; Department of Cardiology, CHU Lille, Lille, France.; Inserm U1167, Institut Pasteur de Lille, Lille, France., Komajda M; Department of Cardiology, Hôpital Paris Saint-Joseph, Paris, France.; Paris Sorbonne University, Paris, France. |
| Source: | ESC heart failure [ESC Heart Fail] 2025 Jun; Vol. 12 (3), pp. 2200-2209. Date of Electronic Publication: 2025 Feb 13. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: John Wiley & Sons Ltd on behalf of the European Society of Cardiology Country of Publication: England NLM ID: 101669191 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2055-5822 (Electronic) Linking ISSN: 20555822 NLM ISO Abbreviation: ESC Heart Fail Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 39949136 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Prediction of 90 day mortality in elderly patients with acute HF from e-health records using artificial intelligence. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Weller+J%22">Weller J</searchLink>; Direction of Medical Information, Prospects and Data Sciences, Hôpitaux Paris Saint-Joseph and Marie-Lannelongue, Paris, France.<br /><searchLink fieldCode="AU" term="%22Gutton+J%22">Gutton J</searchLink>; Direction of Medical Information, Prospects and Data Sciences, Hôpitaux Paris Saint-Joseph and Marie-Lannelongue, Paris, France.<br /><searchLink fieldCode="AU" term="%22Hocquet+G%22">Hocquet G</searchLink>; Direction of Medical Information, Prospects and Data Sciences, Hôpitaux Paris Saint-Joseph and Marie-Lannelongue, Paris, France.<br /><searchLink fieldCode="AU" term="%22Pellet+L%22">Pellet L</searchLink>; Direction of Medical Information, Prospects and Data Sciences, Hôpitaux Paris Saint-Joseph and Marie-Lannelongue, Paris, France.<br /><searchLink fieldCode="AU" term="%22Aroulanda+MJ%22">Aroulanda MJ</searchLink>; Department of Cardiology, Hôpital Paris Saint-Joseph, Paris, France.<br /><searchLink fieldCode="AU" term="%22Bruandet+A%22">Bruandet A</searchLink>; Department of Medical Information, CHU Lille, Lille, France.<br /><searchLink fieldCode="AU" term="%22Theis+D%22">Theis D</searchLink>; Department of Medical Information, CHU Lille, Lille, France.<br /><searchLink fieldCode="AU" term="%22Boudis+F%22">Boudis F</searchLink>; Department of Medical Information, CHU Lille, Lille, France.<br /><searchLink fieldCode="AU" term="%22Cador+R%22">Cador R</searchLink>; Department of Cardiology, Hôpital Paris Saint-Joseph, Paris, France.<br /><searchLink fieldCode="AU" term="%22Zweigenbaum+P%22">Zweigenbaum P</searchLink>; LISN Research Center, Université Paris-Saclay, Paris, France.<br /><searchLink fieldCode="AU" term="%22Buronfosse+A%22">Buronfosse A</searchLink>; Direction of Medical Information, Prospects and Data Sciences, Hôpitaux Paris Saint-Joseph and Marie-Lannelongue, Paris, France.<br /><searchLink fieldCode="AU" term="%22de+Groote+P%22">de Groote P</searchLink>; Department of Cardiology, CHU Lille, Lille, France.; Inserm U1167, Institut Pasteur de Lille, Lille, France.<br /><searchLink fieldCode="AU" term="%22Komajda+M%22">Komajda M</searchLink>; Department of Cardiology, Hôpital Paris Saint-Joseph, Paris, France.; Paris Sorbonne University, Paris, France. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101669191%22">ESC heart failure</searchLink> [ESC Heart Fail] 2025 Jun; Vol. 12 (3), pp. 2200-2209. <i>Date of Electronic Publication: </i>2025 Feb 13. – 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="%22John+Wiley+%26+Sons+Ltd+on+behalf+of+the+European+Society+of+Cardiology%22">John Wiley & Sons Ltd on behalf of the European Society of Cardiology </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101669191 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2055-5822 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220555822%22">20555822 </searchLink><i>NLM ISO Abbreviation: </i>ESC Heart Fail <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39949136 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/ehf2.15244 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 2200 Titles: – TitleFull: Prediction of 90 day mortality in elderly patients with acute HF from e-health records using artificial intelligence. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Weller J – PersonEntity: Name: NameFull: Gutton J – PersonEntity: Name: NameFull: Hocquet G – PersonEntity: Name: NameFull: Pellet L – PersonEntity: Name: NameFull: Aroulanda MJ – PersonEntity: Name: NameFull: Bruandet A – PersonEntity: Name: NameFull: Theis D – PersonEntity: Name: NameFull: Boudis F – PersonEntity: Name: NameFull: Cador R – PersonEntity: Name: NameFull: Zweigenbaum P – PersonEntity: Name: NameFull: Buronfosse A – PersonEntity: Name: NameFull: de Groote P – PersonEntity: Name: NameFull: Komajda M IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: 2025 Jun Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 2055-5822 Numbering: – Type: volume Value: 12 – Type: issue Value: 3 Titles: – TitleFull: ESC heart failure Type: main |
| ResultId | 1 |