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Detection of abnormal left ventricular geometry in patients without cardiovascular disease through machine learning: An ECG‐based approach
Cardiac remodeling is recognized as an important aspect of cardiovascular disease (CVD) progression. Machine learning (ML) techniques were applied to basic clinical parameters and electrocardiographic features, in order to detect abnormal left ventricular geometry (LVG) even before the onset of left...
Autores principales: | Angelaki, Eleni, Marketou, Maria E., Barmparis, Georgios D., Patrianakos, Alexandros, Vardas, Panos E., Parthenakis, Fragiskos, Tsironis, Giorgos P. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8678829/ https://www.ncbi.nlm.nih.gov/pubmed/33507615 http://dx.doi.org/10.1111/jch.14200 |
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