A MEDICAL DECISION SUPPORT SYSTEM WITH UNCERTAINTY: A CASE STUDY FOR EPILEPSY CLASSIFICATION
Emmanuil Marakakis, Kostas Vassilakis, Emmanuil Kalivianakis, Sifis Micheloyiannis · 2005
This paper presents a medical decision support system which derives differential diagnosis about epilepsy cases in childhood, according to international classifications. This system simulates the reasoning process of top neurologists specialized in epilepsy. It is intended to be used by neurologists specialized on epilepsy. Meta-rules drive the reasoning process of the system. Uncertainty is handled by using weights and certainty factors. The user of the system, physician specialist, can update the knowledge base of the system through a user friendly interface. The initial evaluation results of the system have given 83.3% successful diagnosis.