Early Diagnosis of Lung Cancer Using Adaptive Neuro Fuzzy Inference System

Abstract

Lung cancer is one of the most serious cancer worldwide. Diagnostic of lung cancer very weak because doctor will able to know the disease only at the advanced stage .the main objective of this study is to predict and early detection of lung cancer by using an adaptive neuro fuzzy inference system (ANFIS) and artificial neural network (ANN). Symptoms and other information about the person were used to diagnose the lung cancer, as input variables for (ANFIS) and (ANN).The data set obtained from data world which content 309 records and two classes. Data set fed into the system as input after pre-processed. According to this study the accuracy of (ANN) and ANFIS are 98.913 97.087 respectively. Model evaluation showed that the (ANN) and (ANFIS) have been able to detect the absence or presence of lung cancer.