HDPF: Heart Disease Prediction Framework Based on Hybrid Classifiers and Genetic Algorithm

HDPF: Heart Disease Prediction Framework Based on Hybrid Classifiers and Genetic Algorithm

Supervised machine learning algorithms are powerful classification techniques commonly used to build prediction models that help diagnose the disease early. However, some challenges like overfitting and underfitting need to be overcome while building the model. This paper introduces hybrid classifie...

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Bibliographic Details
Main Authors: Sarria E. A. Ashri, M. M. El-Gayar, Eman M. El-Daydamony
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Cardiovascular disease
supervised machine learning algorithms
simple genetic algorithm
ensembled model
majority voting technique
Online Access:https://ieeexplore.ieee.org/document/9585496/

Internet

https://ieeexplore.ieee.org/document/9585496/

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