Machine learning methodologies versus cardiovascular risk scores, in predicting disease risk

Machine learning methodologies versus cardiovascular risk scores, in predicting disease risk

Abstract Background The use of Cardiovascular Disease (CVD) risk estimation scores in primary prevention has long been established. However, their performance still remains a matter of concern. The aim of this study was to explore the potential of using ML methodologies on CVD prediction, especially...

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Bibliographic Details
Main Authors: Alexandros C. Dimopoulos, Mara Nikolaidou, Francisco Félix Caballero, Worrawat Engchuan, Albert Sanchez-Niubo, Holger Arndt, José Luis Ayuso-Mateos, Josep Maria Haro, Somnath Chatterji, Ekavi N. Georgousopoulou, Christos Pitsavos, Demosthenes B. Panagiotakos
Format: Article
Language:English
Published: BMC 2018-12-01
Series:BMC Medical Research Methodology
Subjects:
Cardiovascular disease
Risk prediction
Machine learning
Model performance
Online Access:http://link.springer.com/article/10.1186/s12874-018-0644-1

Internet

http://link.springer.com/article/10.1186/s12874-018-0644-1

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