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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Detaylı Bibliyografya
Asıl Yazarlar:	Olamilekan Shobayo, Oluwafemi Zachariah, Modupe Olufunke Odusami, Bayode Ogunleye
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	MDPI AG 2023-08-01
Seri Bilgileri:	Analytics
Konular:	stroke data mining machine learning random forest logistic regression decision tree
Online Erişim:	https://www.mdpi.com/2813-2203/2/3/34
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

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

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