Predicting metabolic syndrome using decision tree and support vector machine methods

Predicting metabolic syndrome using decision tree and support vector machine methods

<div><div><div><p><strong>BACKGROUND:</strong> Metabolic syndrome which underlies the increased prevalence of cardiovascular disease and Type 2 diabetes is considered as a group of metabolic abnormalities including central obesity, hypertriglyceridemia, glucose in...

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Bibliographic Details
Main Authors: Farzaneh Karimi-Alavijeh, Saeed Jalili, Masoumeh Sadeghi
Format: Article
Language:English
Published: Vesnu Publications 2016-06-01
Series:ARYA Atherosclerosis
Subjects:
Machine Learning
Metabolic Syndrome
Decision Tree
Support Vector Machine
Online Access:http://arya.mui.ac.ir/index.php/arya/article/view/967

Internet

http://arya.mui.ac.ir/index.php/arya/article/view/967

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