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.
