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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.
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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  Data: Advanced electrocardiography heart age: a prognostic, explainable machine learning approach applicable to sinus and non-sinus rhythms.
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  Data: <searchLink fieldCode="AU" term="%22Al-Falahi+ZS%22">Al-Falahi ZS</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Schlegel+TT%22">Schlegel TT</searchLink>; Department of Clinical Physiology, Karolinska University Hospital, and Karolinska Institutet, SE-17176 Stockholm, Sweden.; Nicollier-Schlegel SARL, Trélex 1270, Switzerland.<br /><searchLink fieldCode="AU" term="%22Palencia-Lamela+I%22">Palencia-Lamela I</searchLink>; Kolling Institute, Royal North Shore Hospital, University of Sydney, St Leonards, Sydney, NSW 2065, Australia.<br /><searchLink fieldCode="AU" term="%22Li+A%22">Li A</searchLink>; Kolling Institute, Royal North Shore Hospital, University of Sydney, St Leonards, Sydney, NSW 2065, Australia.<br /><searchLink fieldCode="AU" term="%22Schelbert+EB%22">Schelbert EB</searchLink>; Minneapolis Heart Institute East, United Hospital, Minneapolis, MN 55407, USA.<br /><searchLink fieldCode="AU" term="%22Niklasson+L%22">Niklasson L</searchLink>; Minneapolis Heart Institute East, United Hospital, Minneapolis, MN 55407, USA.<br /><searchLink fieldCode="AU" term="%22Maanja+M%22">Maanja M</searchLink>; Department of Clinical Physiology, Karolinska University Hospital, and Karolinska Institutet, SE-17176 Stockholm, Sweden.<br /><searchLink fieldCode="AU" term="%22Lindow+T%22">Lindow T</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Ugander+M%22">Ugander M</searchLink>; 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.
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  Data: <searchLink fieldCode="JN" term="%22101778323%22">European heart journal. Digital health</searchLink> [Eur Heart J Digit Health] 2024 Oct 09; Vol. 6 (1), pp. 45-54. <i>Date of Electronic Publication: </i>2024 Oct 09 (<i>Print Publication: </i>2025).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Oxford+University+Press%22">Oxford University Press </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101778323 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2634-3916 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2226343916%22">26343916 </searchLink><i>NLM ISO Abbreviation: </i>Eur Heart J Digit Health <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.1093/ehjdh/ztae075
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        Text: English
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              Text: 2024 Oct 09
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