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Summary: Abductive Network Committees
for Improved Classification of Medical Data
R. E. Abdel-Aal
Center for Applied Physical Sciences, Research Institute
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
Objectives: To introduce abductive network classifier committees as an ensemble method for
improving classification accuracy in medical diagnosis. While neural networks allow many ways
to introduce enough diversity among member models to improve performance when forming a
committee, the self-organizing, automatic-stopping nature, and learning approach used by
abductive networks are not very conducive for this purpose. We explore ways of overcoming this
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