An Intelligent Approach for Early and Accurate Predication of Cardiac Disease Using Hybrid Artificial Intelligence Techniques

An Intelligent Approach for Early and Accurate Predication of Cardiac Disease Using Hybrid Artificial Intelligence Techniques

This study proposes a new hybrid machine learning (ML) model for the early and accurate diagnosis of heart disease. The proposed model is a combination of two powerful ensemble ML models, namely ExtraTreeClassifier (ETC) and XGBoost (XGB), resulting in a hybrid model named ETCXGB. At first, all the...

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Bibliographic Details
Main Authors: Hazrat Bilal, Yibin Tian, Ahmad Ali, Yar Muhammad, Abid Yahya, Basem Abu Izneid, Inam Ullah
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Bioengineering
Subjects:
cardiac disease
hybrid machine learning techniques
hybrid deep learning approaches
disease prediction
cardiac disease prediction
Online Access:https://www.mdpi.com/2306-5354/11/12/1290
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