Heart Disease Prediction Using Concatenated Hybrid Ensemble Classifiers

Heart Disease Prediction Using Concatenated Hybrid Ensemble Classifiers

Heart disease is a leading global cause of mortality, demanding early detection for effective and timely medical intervention. In this study, we propose a machine learning-based model for early heart disease prediction. This model is trained on a dataset from the UC Irvine Machine Learning Repositor...

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Bibliographic Details
Main Authors: Annwesha Banerjee Majumder, Somsubhra Gupta, Dharmpal Singh, Biswaranjan Acharya, Vassilis C. Gerogiannis, Andreas Kanavos, Panagiotis Pintelas
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Algorithms
Subjects:
Adaboost
decision tree
extra trees classifier
hybrid ensemble voting classifier
K-nearest neighbor
logistic regression
Online Access:https://www.mdpi.com/1999-4893/16/12/538

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