Volume 3, Issue 2 (10-2013)                   mejds (2013) 3: 1 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Madadkar A, karimlo M, rahgozar M, jamaldini H, mozaffari R. Application and Comparison of Random Forest and CART in Genetic Association Study in Coronary Artery Disease. mejds. 2013; 3 (2) :1-8
URL: http://jdisabilstud.ir/article-1-341-en.html
Abstract:   (8753 Views)
Objective: In the studies of genomics, it is essential to select a small number of single nucleotide polymorphisms (SNPs). That is more significant than the others for the association studies of disease susceptibility. Data mining technology provides an important means for extracting valuable medical rules hidden in medical data and acts as an important role in disease prediction and clinical diagnosis. In this study, our goal was to compare two machine learning methods using genetic factor and single nucleotide polymorphisms.
Methods: In order to perform the data analysis, a total of 141 patients and 83 controls in the genetics' section of Shahid Rajaee's heart center. The blood samples to draw conclusions about the LDLR and PCSK9 genes' SNPs was used. Also, the random forest and CART was used in order to discover the relationship between CAD and SNPs. These models were assessed by using four criteria including: sensitivity, specificity, precision and error. Data analysis was performed by SPSS (16.0) and R (2.15.0).
Results: CART had the better performance than Random Forest. Sensitivity, specificity, precision and error were 0.893, 0.506, 0.250 and 0.754 relatively. We introduced an algorithm to classify the high risk and low risk cases.
Conclusion:CART is suggested in order to assess the relationship between CAD and SNPs.
Full-Text [PDF 467 kb]   (3732 Downloads)    
Type of Study: Original Research Article | Subject: Rehabilitation
Received: 2014/07/30 | Accepted: 2014/07/30

Add your comments about this article : Your username or Email:

Send email to the article author

© 2019 All Rights Reserved | Middle Eastern Journal of Disability Studies

Designed & Developed by : Yektaweb