Classification models for heart disease prediction using feature selection and PCA

Classification models for heart disease prediction using feature selection and PCA

The prediction of cardiac disease helps practitioners make more accurate decisions regarding patients' health. Therefore, the use of machine learning (ML) is a solution to reduce and understand the symptoms related to heart disease. The aim of this work is the proposal of a dimensionality reduc...

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Bibliographic Details
Main Authors: Anna Karen Gárate-Escamila, Amir Hajjam El Hassani, Emmanuel Andrès
Format: Article
Language:English
Published: Elsevier 2020-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Machine learning
Heart disease
Apache spark
PCA
Feature selection
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914820300125

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http://www.sciencedirect.com/science/article/pii/S2352914820300125

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