ExF-SVM: Exhaustive feature selection with support vector machine algorithm for brain stroke prediction

Prasannavenkatesan Theerthagiri

doi:10.1016/j.compbiomed.2025.111184

ExF-SVM: Exhaustive feature selection with support vector machine algorithm for brain stroke prediction

2025-10-06

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P

Prasannavenkatesan Theerthagiri *

A

A. Usha Ruby

G

George Chellin Chandran J

DOI：10.1016/j.compbiomed.2025.111184

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Abstract

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• This work develops ExF-SVM Algorithm to improve the precision and dependability of brain stroke prediction models. • Proposed Exhaustive Feature Selection algorithm analyses and ranks most pertinent features for brain stroke prediction. • Performance of ExF-SVM algorithm shows higher prediction accuracy compared to conventional machine and deep learning models.

ExF-SVM: Exhaustive feature selection with support vector machine algorithm for brain stroke prediction

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