Meta-rules and uncertain reasoning for diagnosis of epilepsy in childhood

Authors:
Emmanuil Marakakis;Kostas Vassilakis;Nikos Papadakis
Affiliations:
Science Department, Technological Educational Institute (TEI) of Crete, Greece;Science Department, Technological Educational Institute (TEI) of Crete, Greece;Science Department, Technological Educational Institute (TEI) of Crete, Greece
Venue:
Expert Systems with Applications: An International Journal
Year:
2010

Citing 3
Cited 0

Discrete mathematics (3rd ed.)

Discrete mathematics (3rd ed.)
Automatic detection of epileptic seizures in EEG using discrete wavelet transform and approximate entropy

Expert Systems with Applications: An International Journal
A hybrid expert system for the diagnosis of epileptic crisis

Artificial Intelligence in Medicine

Quantified Score

Hi-index	12.05

Visualization

Abstract

This paper presents an expert system which derives differential diagnosis about epilepsy cases in childhood, according to international classifications. This expert system is intended to be used as a consultation system by neurologists. The physician specialist can update the knowledge base of the system through a user-friendly interface. Uncertainty is handled by using weights and certainty factors. Meta-rules drive the reasoning process of the system. The initial evaluation results of the system are very promising, i.e. 83.3% successful diagnosis.