Artificial Flora Algorithm-Based Feature Selection With Support Vector Machine for Cardiovascular Disease Classification

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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Bibliographic Details
Main Authors: M. M. Asha, G. Ramya
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Artificial flora optimization
fitness function
feature selection
ROC analysis
support vector machine
cardiovascular disease
Online Access:https://ieeexplore.ieee.org/document/10819400/
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https://ieeexplore.ieee.org/document/10819400/

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