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GMDH-Based Feature Ranking and Selection for Improved Classification of Medical Data
 

Summary: GMDH-Based Feature Ranking and Selection
for Improved Classification of Medical Data
R. E. Abdel-Aal
Physics Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia
Address for corresponding author and reprints:
Dr. R. E. Abdel-Aal
P. O. Box 1759
KFUPM
Dhahran 31261
Saudi Arabia
e-mail: radwan@kfupm.edu.sa
Phone: +966 3 860 4320
Fax: +966 3 860 4281
Abstract
Medical applications are often characterized by a large number of disease markers and a
relatively small number of data records. We demonstrate that complete feature ranking followed by
selection can lead to appreciable reductions in data dimensionality, with significant improvements
in the implementation and performance of classifiers for medical diagnosis. We describe a novel
approach for ranking all features according to their predictive quality using properties unique to
learning algorithms based on the group method of data handling (GMDH). An abductive network

  

Source: Abdel-Aal, Radwan E. - Computer Engineering Department, King Fahd University of Petroleum and Minerals

 

Collections: Computer Technologies and Information Sciences; Power Transmission, Distribution and Plants