Predicting Mortality in Patients with Stroke Using Data Mining Techniques

Predicting Mortality in Patients with Stroke Using Data Mining Techniques

The mortality due to stroke is increasing. Accurate prediction of stroke-caused death is very important for healthcare. Data mining methods are novel ways to predict these mortality risks. The aim of this study is to employ popular data mining algorithms to predict the survival of stroke patients an...

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Bibliographic Details
Main Authors: Zahra Hadianfard, Hadi Lotfnezhad Afshar, Surena Nazarbaghi, Bahlol Rahimi, Toomas Timpka
Format: Article
Language:ces
Published: Prague University of Economics and Business 2022-03-01
Series:Acta Informatica Pragensia
Subjects:
data mining
decision trees
stroke
survival
logistic regression
iran
Online Access:https://aip.vse.cz/artkey/aip-202201-0003_predicting-mortality-in-patients-with-stroke-using-data-mining-techniques.php

Internet

https://aip.vse.cz/artkey/aip-202201-0003_predicting-mortality-in-patients-with-stroke-using-data-mining-techniques.php

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