An intelligent system to assist the diagnosis of epilepsy disorder in children: A case of study

The proposed intelligent system MAED (Medical assistance for epilepsy diagnosis) was designed and implemented using fuzzy logic and Bayes method as inference tools to assist in epilepsy diagnosis in children. This disease can be misdiagnosed because either it is not evident in the electroencephalographic (EEG) recording or because the clinical symptoms are mistaken with other disorders. Therefore, it becomes necessary to consider both, clinical and paraclinical (EEG) information to achieve an accurate diagnosis. A set of 25 children (22 epileptic, 3 hyperactive), was used to test the system in order to establish the probability of epilepsy diagnosis. This system helps to reinforce the physician diagnosis through the systematic analysis of the patient information because is based on the standard clinical guidelines. MAED could also be used as a training tool for improving the knowledge of the medical specialist student.