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Improved Classification of Medical Data Using Abductive Network Committees
 

Summary: Improved Classification of Medical Data
Using Abductive Network Committees
Trained on Different Feature Subsets
R. E. Abdel-Aal
Department of Computer Engineering,
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
Summary
This paper demonstrates the use of abductive network classifier committees trained on different
features for improving classification accuracy in medical diagnosis. In an earlier publication,
committee members were trained on different subsets of the training set to ensure enough diversity
for improved committee performance. In situations characterized by high data dimensionality, i.e. a

  

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