Advanced electrocardiography heart age: a prognostic, explainable machine learning approach applicable to sinus and non-sinus rhythms.
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| Title: | Advanced electrocardiography heart age: a prognostic, explainable machine learning approach applicable to sinus and non-sinus rhythms. |
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| Authors: | Al-Falahi ZS; Kolling Institute, Royal North Shore Hospital, University of Sydney, St Leonards, Sydney, NSW 2065, Australia.; Department of Cardiology, Campbelltown Hospital, South West Sydney Local Health District, NSW 2560, Australia., Schlegel TT; Department of Clinical Physiology, Karolinska University Hospital, and Karolinska Institutet, SE-17176 Stockholm, Sweden.; Nicollier-Schlegel SARL, Trélex 1270, Switzerland., Palencia-Lamela I; Kolling Institute, Royal North Shore Hospital, University of Sydney, St Leonards, Sydney, NSW 2065, Australia., Li A; Kolling Institute, Royal North Shore Hospital, University of Sydney, St Leonards, Sydney, NSW 2065, Australia., Schelbert EB; Minneapolis Heart Institute East, United Hospital, Minneapolis, MN 55407, USA., Niklasson L; Minneapolis Heart Institute East, United Hospital, Minneapolis, MN 55407, USA., Maanja M; Department of Clinical Physiology, Karolinska University Hospital, and Karolinska Institutet, SE-17176 Stockholm, Sweden., Lindow T; Kolling Institute, Royal North Shore Hospital, University of Sydney, St Leonards, Sydney, NSW 2065, Australia.; Department of Medicine, Research and Development, Växjö Central Hospital, 35188 Region Kronoberg, Sweden.; Respiratory Medicine, Allergology and Palliative Medicine, Clinical Sciences, Lund University, 22100 Lund, Sweden., Ugander M; Kolling Institute, Royal North Shore Hospital, University of Sydney, St Leonards, Sydney, NSW 2065, Australia.; Department of Clinical Physiology, Karolinska University Hospital, and Karolinska Institutet, SE-17176 Stockholm, Sweden. |
| Source: | European heart journal. Digital health [Eur Heart J Digit Health] 2024 Oct 09; Vol. 6 (1), pp. 45-54. Date of Electronic Publication: 2024 Oct 09 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 101778323 Publication Model: eCollection Cited Medium: Internet ISSN: 2634-3916 (Electronic) Linking ISSN: 26343916 NLM ISO Abbreviation: Eur Heart J Digit Health Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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