Home ยป “Improving Heart Disease Prediction Accuracy Using SVM-Based Feature Selection Methods: A Study”

“Improving Heart Disease Prediction Accuracy Using SVM-Based Feature Selection Methods: A Study”

by satcit

https://pubmed.ncbi.nlm.nih.gov/38114600

The study found that using feature selection methods, particularly SVM-based filtering, can significantly improve machine learning algorithms’ accuracy in predicting heart disease.

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