Prediction of 90 day mortality in elderly patients with acute HF from e-health records using artificial intelligence.
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| Title: | Prediction of 90 day mortality in elderly patients with acute HF from e-health records using artificial intelligence. |
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| 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 |
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