A hybrid system to predict brain stroke using a combined feature selection and classifier

Background: Brain stroke is a serious health issue that requires timely and accurate prediction for effective treatment and prevention. This study described a hybrid system that used the best feature selection method and classifier to predict brain stroke. Methods: The Stroke Prediction Dataset from...

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Autori principali:	Priyanka Bathla, Rajneesh Kumar
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Elsevier 2024-05-01
Serie:	Intelligent Medicine
Soggetti:	Machine learning Naive Bayes Extreme gradient boosting Support vector machine Adaptive boosting Random forest
Accesso online:	http://www.sciencedirect.com/science/article/pii/S266710262300058X
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