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On the Use of Machine Learning Techniques and Non-Invasive Indicators for Classifying and Predicting Cardiac Disorders

This research aims to enhance the classification and prediction of ischemic heart diseases using machine learning techniques, with a focus on resource efficiency and clinical applicability. Specifically, we introduce novel non-invasive indicators known as Campello de Souza features, which require on...

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Detalles Bibliográficos
Autores principales:	Ospina, Raydonal, Ferreira, Adenice G. O., de Oliveira, Hélio M., Leiva, Víctor, Castro, Cecilia
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10604302/ https://www.ncbi.nlm.nih.gov/pubmed/37892978 http://dx.doi.org/10.3390/biomedicines11102604

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