Classifying Pediatric Central Nervous System Tumors through near Optimal Feature Selection and Mutual Information: A Single Center Cohort

Classifying Pediatric Central Nervous System Tumors through near Optimal Feature Selection and Mutual Information: A Single Center Cohort

Background: Labeling, gathering mutual information, clustering and classificationof central nervous system tumors may assist in predicting not only distinct diagnosesbased on tumor-specific features but also prognosis. This study evaluates the epidemi-ological features of central nervous system tumo...

Full description

Bibliographic Details
Main Authors: Mohammad Faranoush, Mohammad Torabi-Nami, Azim Mehrvar, Amir Abbas HedayatiAsl, Maryam Tashvighi, Reza Ravan Parsa, Mohammad Ali Fazeli, Behdad Sobuti, Narjes Mehrvar, Ali Jafarpour, Rokhsareh Zangooei, Mardawij Alebouyeh, Mohammadreza Abolghasemi, Abdol-Hossein Vahabie, Parvaneh Vossough
Format: Article
Language:English
Published: Shiraz University of Medical Sciences 2013-10-01
Series:Middle East Journal of Cancer
Subjects:
Pediatric CNS tumors
Epidemiology
Mutual information
Classification
Online Access:http://mejc.sums.ac.ir/index.php/mejc/article/view/116/105

Internet

http://mejc.sums.ac.ir/index.php/mejc/article/view/116/105

Similar Items