Lung cancer prediction model using machine learning techniques

Abstract

Lung cancer is cancer that forms in tissues of the lung, usually in the cells that line the air passages. It is the leading cause of cancer death in both men and women. Some of the Symptoms are Chest pain or discomfort, Trouble breathing, Wheezing, Blood in sputum (mucus coughed up from the lungs),Hoarseness, Loss of appetite, etc. Sometimes lung cancer does not cause any signs or symptoms. It may be found during a chest x-ray done for another condition. So early prediction of disease is very important to avoid death. So many machine learning algorithms are used to predict the lung cancer early but lack of accuracy. To overcome disease prediction accuracy issues, Gaussian Naive Bayes machine learning algorithm is used. The performance of the proposed GNB algorithm is evaluated using UCI Machine Learning Repository. The performance analysis shows GNB prediction model achieves 97.5%.