Abstract:
In this paper, we developed an Artificial Neural Network (ANN) for detect the absence or presence of lung cancer in
human body. Symptoms were used to diagnose the lung cancer, these symptoms such as Yellow fingers, Anxiety, Chronic Disease,
Fatigue, Allergy, Wheezing, Coughing, Shortness of Breath, Swallowing Difficulty and Chest pain. They were used and other
information about the person as input variables for our ANN. Our ANN established, trained, and validated using data set, which
its title is “survey lung cancer”. Model evaluation showed that the ANN model is able to detect the absence or presence of lung
cancer with 96.67 % accuracy.