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

Yıl 2018, Sayı: 2, 345 - 353, 19.08.2018

Aysegul Alaybeyoglu Naciye Mulayım

Öz

It
is certain that accurately and timely diagnosis of the diseases reduces the
risk of morbidity and mortality of the disease. At that point, an expert system
based on artificial intelligence techniques helps physicians or other
healthcare professionals for diagnosis of it. In this study an expert system
based on Firefly Algorithm is developed to diagnose both breast cancer and
liver disorder. An experiential labour of the proposed system was managed using
Indian Liver Patient Dataset and Breast
Cancer Wisconsin (Original) Data Set received from UCI Machine Learning
Repository sites. Standard statistical Metrics which are Negative Predictive
Value, Positive Predictive Value, Specificity, Sensitivity, Precision,
F_Measure and Accuracy are used to evaluate the performance of the proposed
systems and simulation results show that the proposed system is 92% efficient
in providing accurate diagnosis of Liver Disorder and 94.81% efficient in
providing accurate diagnosis of Breast Cancer. C# programming language is used
for the implementations of the system.

Anahtar Kelimeler

Firefly algorithm, Expert system, Breast cancer, Liver disorder

Kaynakça

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