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

Internet

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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