A Hybrid Brain Stroke Prediction Framework: Integrating Feature Selection, Classification, and Hyperparameter Optimization

A Hybrid Brain Stroke Prediction Framework: Integrating Feature Selection, Classification, and Hyperparameter Optimization

ABSTRACT Stroke is a leading cause of death and disability worldwide, requiring accurate and early prediction to ensure timely medical intervention. This study proposes a hybrid system that combines optimal feature selection and advanced classification techniques to improve stroke prediction perform...

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Bibliographic Details
Main Authors: Mohammad Amin, Khalid M. O. Nahar, Hasan Gharaibeh, Rabia Emhamed Al Mamlook, Ahmad Nasayreh, Nesrine Atitallah, Ali Gharaibeh, Raneem Hamad, Raed Abu Zitar, Aseel Smerat, Laith Abualigah
Format: Article
Language:English
Published: Wiley 2025-07-01
Series:Engineering Reports
Subjects:
ANOVA
brain stroke prediction
feature selection
hyperparameter
machine learning
Online Access:https://doi.org/10.1002/eng2.70213
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