Multi-Objective artificial bee colony optimized hybrid deep belief network and XGBoost algorithm for heart disease prediction

Multi-Objective artificial bee colony optimized hybrid deep belief network and XGBoost algorithm for heart disease prediction

The global rise in heart disease necessitates precise prediction tools to assess individual risk levels. This paper introduces a novel Multi-Objective Artificial Bee Colony Optimized Hybrid Deep Belief Network and XGBoost (HDBN-XG) algorithm, enhancing coronary heart disease prediction accuracy. Key...

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Bibliographic Details
Main Authors: Kanak Kalita, Narayanan Ganesh, Sambandam Jayalakshmi, Jasgurpreet Singh Chohan, Saurav Mallik, Hong Qin
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-11-01
Series:Frontiers in Digital Health
Subjects:
heart disease
classification
deep belief network
XGBoost
feature selection
optimization
Online Access:https://www.frontiersin.org/articles/10.3389/fdgth.2023.1279644/full

Internet

https://www.frontiersin.org/articles/10.3389/fdgth.2023.1279644/full

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