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...

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Detalles Bibliográficos
Autores principales: Angelaki, Eleni, Marketou, Maria E., Barmparis, Georgios D., Patrianakos, Alexandros, Vardas, Panos E., Parthenakis, Fragiskos, Tsironis, Giorgos P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Digital Health
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

Internet

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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