Machine learning and statistical approaches for classification of risk of coronary artery disease using plasma cytokines

Machine learning and statistical approaches for classification of risk of coronary artery disease using plasma cytokines

Abstract Background As per the 2017 WHO fact sheet, Coronary Artery Disease (CAD) is the primary cause of death in the world, and accounts for 31% of total fatalities. The unprecedented 17.6 million deaths caused by CAD in 2016 underscores the urgent need to facilitate proactive and accelerated pre-...

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Bibliographic Details
Main Authors: Seema Singh Saharan, Pankaj Nagar, Kate Townsend Creasy, Eveline O. Stock, James Feng, Mary J. Malloy, John P. Kane
Format: Article
Language:English
Published: BMC 2021-04-01
Series:BioData Mining
Subjects:
CAD
ML
k-NN
Random Forest
Distance metrics
k-fold cross validation
Online Access:https://doi.org/10.1186/s13040-021-00260-z

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