Classification of Heart Failure Using Machine Learning: A Comparative Study

Classification of Heart Failure Using Machine Learning: A Comparative Study

Several machine learning classification algorithms were evaluated using a dataset focused on heart failure. Results obtained from logistic regression, random forest, decision tree, K-nearest neighbors, and multilayer perceptron (MLP) were compared to obtain the best model. The random forest method o...

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Bibliographic Details
Main Authors: Bryan Chulde-Fernández, Denisse Enríquez-Ortega, Cesar Guevara, Paulo Navas, Andrés Tirado-Espín, Paulina Vizcaíno-Imacaña, Fernando Villalba-Meneses, Carolina Cadena-Morejon, Diego Almeida-Galarraga, Patricia Acosta-Vargas
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Life
Subjects:
heart failure
machine learning
classification
feature extraction
diagnosis
Online Access:https://www.mdpi.com/2075-1729/15/3/496
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