An effective healthcare monitoring system in an IoMT environment for heart disease detection using the HANN model

Abstract

The proposed work aims to develop an automated machine learning based network model for heart disease prediction with better accuracy. In the pre-processed data, the most significant features are selected using the White Shark Optimization based Linear Discriminant Analysis (WSO-LDA) technique, reducing computational complexity. Finally, the selected features are fed to the Hybrid Artificial Neural Network (HANN) with a Multi-Objective Spotted Hyena optimization (MOSHO) based classification stage. This stage classifies heart disease with minimized processing time.

Keywords:

• Heart disease detection
• IoMT devices
• linear discriminant analysis
• multi-objective spotted hyena optimization
• white shark optimization
• artificial neural network

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

Data sharing is not applicable to this article.

Additional information

Funding

No funding is provided for the preparation of the manuscript.