Prediction of Stroke Disease with Demographic and Behavioural Data Using Random Forest Algorithm

Stroke is a major cause of death worldwide, resulting from a blockage in the flow of blood to different parts of the brain. Many studies have proposed a stroke disease prediction model using medical features applied to deep learning (DL) algorithms to reduce its occurrence. However, these studies pa...

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Autores principales:	Olamilekan Shobayo, Oluwafemi Zachariah, Modupe Olufunke Odusami, Bayode Ogunleye
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2023-08-01
Colección:	Analytics
Materias:	stroke data mining machine learning random forest logistic regression decision tree
Acceso en línea:	https://www.mdpi.com/2813-2203/2/3/34
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