Evaluation of the Cardiovascular Risk in Middle-aged Workers: An Artificial Neural Networks-based Approach

A method of the evaluation of the risk of cardiovascular events in the group of middle-aged male workers was developed on the basis of artificial neural networks (ANN). The list of analyzed variables included parameters of allostatic load and signs of myocardial involvement. The results were compare...

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Bibliographic Details
Published inProcedia computer science Vol. 80; pp. 2418 - 2422
Main Authors Sboev, Alexander, Gorokhova, Svetlana, Pfaf, Viktor, Moloshnikov, Ivan, Gudovskikh, Dmitry, Rybka, Roman, Selivanov, Anton, Serenko, Aleksey
Format Journal Article
LanguageEnglish
Published Elsevier B.V 2016
Subjects
cardiovascular risk
data analysis
data science
neural network
data analysis
cardiovascular risk
data science
neural network
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Summary:A method of the evaluation of the risk of cardiovascular events in the group of middle-aged male workers was developed on the basis of artificial neural networks (ANN). The list of analyzed variables included parameters of allostatic load and signs of myocardial involvement. The results were compared with traditional scales and risk charts (SCORE, PROCAM, and Framingham). A better prognostic value of the proposed model was observed, which makes it reasonable to use both additional markers and ANN.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2016.05.540