Artificial Flora Algorithm-Based Feature Selection With Support Vector Machine for Cardiovascular Disease Classification
Accurately categorizing medical information is crucial for determining effective cardiac treatment options, especially as the volume of data grows and feature selection becomes increasingly challenging. This work proposes a model to identify the presence of Cardiovascular Disease based on various pa...
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Main Authors: | M. M. Asha, G. Ramya |
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Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10819400/ |
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