A Design of Hybrid Expert System for Diagnosis of Breast Cancer and Liver Disorder

Abstract

Itis certain that accurately and timely diagnosis of the diseases reduces therisk of morbidity and mortality of the disease. At that point, an expert systembased on artificial intelligence techniques helps physicians or otherhealthcare professionals for diagnosis of it. In this study an expert systembased on Firefly Algorithm is developed to diagnose both breast cancer andliver disorder. An experiential labour of the proposed system was managed usingIndian Liver Patient Dataset and BreastCancer Wisconsin (Original) Data Set received from UCI Machine LearningRepository sites. Standard statistical Metrics which are Negative PredictiveValue, Positive Predictive Value, Specificity, Sensitivity, Precision,F_Measure and Accuracy are used to evaluate the performance of the proposedsystems and simulation results show that the proposed system is 92% efficientin providing accurate diagnosis of Liver Disorder and 94.81% efficient inproviding accurate diagnosis of Breast Cancer. C# programming language is usedfor the implementations of the system.