Advanced electrocardiography heart age: a prognostic, explainable machine learning approach applicable to sinus and non-sinus rhythms
An explainable A-ECG Heart Age gap applicable to both sinus and non-sinus rhythm associates with cardiovascular risk, cardiovascular morbidity, and survival.
Authors
- Maren Maanja (ORCID: https://orcid.org/0000-0001-8606-0634)
- Martin Ugander (ORCID: https://orcid.org/0000-0003-3665-2038)
- Todd T. Schlegel (ORCID: https://orcid.org/0000-0003-1997-3227)
- Israel Palencia-Lamela
- L. Niklasson (ORCID: https://orcid.org/0009-0007-8848-4036)
- Z. Al-Falahi (ORCID: https://orcid.org/0000-0003-1343-8530)
- Thomas Lindow (ORCID: https://orcid.org/0000-0002-2943-0034)
- Erik B. Schelbert (ORCID: https://orcid.org/0000-0003-0356-4437)
- Annie Li (ORCID: https://orcid.org/0009-0005-7020-5794)
Institutions
- Camden and Campbelltown Hospitals (AU)
- The University of Sydney (AU)
- Karolinska University Hospital (SE)
- Lund University (SE)
- United Hospital (US)
- Royal North Shore Hospital (AU)
- Karolinska Institutet (SE)
- Sydney Local Health District (AU)
- Växjö Kommun (SE)
Publication Details
- Journal
- European Heart Journal - Digital Health
- Published
- 2024-10-07
- DOI
- https://doi.org/10.1093/ehjdh/ztae075
- Citations
- 2
- Primary Topic
- Blood Pressure and Hypertension Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.80
Funders
- Heart Research Australia
- NSW Ministry of Health
- Region Kronoberg
- MTPConnect