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

机译:辅助诊断儿童癫痫病的智能系统:一个研究案例

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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.
机译:以模糊逻辑和贝叶斯方法为推理工具,设计并实现了拟议的智能系统MAED(癫痫诊断医疗辅助系统),以协助儿童进行癫痫诊断。该疾病可能会被误诊,因为在脑电图(EEG)记录中没有发现该疾病,或者由于其他症状误诊了临床症状。因此,有必要同时考虑临床和临床外(EEG)信息以实现准确的诊断。为了确定癫痫诊断的可能性,使用了一组25名儿童(22名癫痫病患者,3名过度活跃患者)对系统进行了测试。由于基于标准临床指南,该系统有助于通过对患者信息的系统分析来加强医师诊断。 MAED还可以用作提高医学专科生知识的培训工具。

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