| Autor: |
V., Karuppuchamy, S., Palanivel Rajan |
| Předmět: |
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| Zdroj: |
Computer Methods in Biomechanics & Biomedical Engineering; Jan2024, Vol. 27 Issue 1, p67-76, 10p |
| Abstrakt: |
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. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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