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

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.

[1]  Bruce G. Buchanan,et al.  The MYCIN Experiments of the Stanford Heuristic Programming Project , 1985 .

[2]  Mats Carlsson,et al.  SICStus Prolog User''s Manual , 1993 .

[3]  Edward H. Shortliffe,et al.  Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence) , 1984 .

[4]  Hasan Ocak,et al.  Automatic detection of epileptic seizures in EEG using discrete wavelet transform and approximate entropy , 2009, Expert Syst. Appl..

[5]  L Korpinen,et al.  Evaluation of Epilepsy Expert--a decision support system. , 1994, Computer methods and programs in biomedicine.

[6]  íbeyliElif Derya.  Features for analysis of electrocardiographic changes in partial epileptic patients , 2009 .

[7]  Richard D. Jones,et al.  An expert system to aid diagnosis of epilepsy , 1993, Proceedings 1993 The First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems.

[8]  L Korpinen.  Computer-aided decision-making for epilepsy and sleep diagnostics. , 1993, Acta neurologica Scandinavica. Supplementum.

[9]  Fernando Mendes de Azevedo,et al.  A hybrid expert system for the diagnosis of epileptic crisis , 2001, Artif. Intell. Medicine.

[10]  Gary Riley,et al.  Expert Systems: Principles and Programming , 2004 .

[11]  Elif Derya íbeyli.  Features for analysis of electrocardiographic changes in partial epileptic patients , 2009 .

[12]  Kostas Vassilakis,et al.  Expert System for Epilepsy with Uncertainty , 2005 .

[13]  Sifis Micheloyannis,et al.  Decision Support System for Classification of Epilepsies in Childhood , 2002, Journal of child neurology.