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Title: Machine learning methodologies versus cardiovascular risk scores, in predicting disease risk.
Issue Date: 2018
Citation: BMC Med Res Methodol.2018 12;(18)1:179
Abstract: 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 compared to established risk tool, the HellenicSCORE.
PMID: 30594138
Rights: openAccess
Appears in Collections:Fundaciones e Institutos de Investigación > IIS H. U. La Princesa > Artículos

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