Home|Journals|Articles by Year Follow on Twitter| Subscribe to List

Directory for Medical Articles
 

Open Access

Original Research

Ann Med Res. 2005; 12(2): 111-117


Diagnosing Restless Legs Syndrome (Rls) Patients with Help of Classification Tree

Gülhan Orekici Temel*, Handan Çamdeviren**, Zeki Akkuş***

.

Abstract

 

Classification trees (CT) are nonparametric statistical methods. This method is a trees algorithm, performed to

diagnose the disease with the use of one or more risk factors. Although, in recent years availability of this method

especially for medical researches has increased, it is not common for the investigation of numerous risk factors of the

disease.

The aim of the study is to summarize theoretical knowledge related to CT and to investigate Restless Legs Syndrome

(RLS) risk factors with different approach. For this purpose, 206 patients, with whom a questionnaire form was

practiced in the University of Mersin, Faculty of Medicine, Department of Neurology, were included in this study and,

CT analysis is used for determination of variables whether these patients have RLS or not.

According to the analysis results, the variables which determine RLS disease was parallel with many risk factors

reported in literature.

Key Words: Classification and regression trees (CART), Diagnose, Decision trees, Misclassification error, Restless

Legs Syndrome.


Full-text options

Full-text Article




Advertisement
American Journal of Physiology, Biochemistry and Pharmacology

SUBMIT YOUR ARTICLE NOW




ScopeMed.com
BiblioMed Home
Follow ScopeMed on Twitter
Author Tools
eJPort Journal Hosting
About BiblioMed
License Information
Terms & Conditions
Privacy Policy
Contact Us

The articles in Bibliomed are open access articles licensed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (https://creativecommons.org/licenses/by-nc-sa/4.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
ScopeMed is a Database Service for Scientific Publications. Copyright © ScopeMed® Information Services.