CLINICAL DECISION SUPPORT SYSTEM FOR MINING LUNG CANCER DATA USING DATA MINING TECHNIQUES

ABSTRACT Lung cancer, the foremost cause of cancer associated humanity for together men and women and its occurrence is mounting worldwide. Lung cancer is the unrestrained increase of irregular cells that begin off in one or both Lung. The previous revealing of cancer is uneasy procedure but if it is noticed, it is curable. The major endeavor of this paper is to offer the earliest forewarning to the patient/doctors and the functioning investigation of combining the classification algorithms Naive Bayes and j48. Those Data mining classification algorithms can assist in the prediction of lung cancer research and it improves the quality of healthcare of patients who are affected by lung cancer.