An Optimization Precise Model of Stroke Data to Improve Stroke Prediction

An Optimization Precise Model of Stroke Data to Improve Stroke Prediction

Stroke is a major public health issue with significant economic consequences. This study aims to enhance stroke prediction by addressing imbalanced datasets and algorithmic bias. Our research focuses on accurately and precisely detecting stroke possibility to aid prevention. We tackle the overlooked...

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Bibliographic Details
Main Authors:	Ivan G. Ivanov, Yordan Kumchev, Vincent James Hooper
Format:	Article
Language:	English
Published:	MDPI AG 2023-09-01
Series:	Algorithms
Subjects:	data analytics machine learning modeling classification models resample procedure confusion matrix Python
Online Access:	https://www.mdpi.com/1999-4893/16/9/417

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