Predicting Cardiovascular Risk in Athletes: Resampling Improves Classification Performance

Predicting Cardiovascular Risk in Athletes: Resampling Improves Classification Performance

<b> </b>Cardiovascular diseases are the main cause of death worldwide. The aim of the present study is to verify the performances of a data mining methodology in the evaluation of cardiovascular risk in athletes, and whether the results may be used to support clinical decision making. An...

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Bibliographic Details
Main Authors: Davide Barbieri, Nitesh Chawla, Luciana Zaccagni, Tonći Grgurinović, Jelena Šarac, Miran Čoklo, Saša Missoni
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:International Journal of Environmental Research and Public Health
Subjects:
medical diagnostic
decision tree
logistic regression
machine learning
Online Access:https://www.mdpi.com/1660-4601/17/21/7923

Internet

https://www.mdpi.com/1660-4601/17/21/7923

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