The cancer like lung, prostrate, and colorectal cancers contribute up to 45% of cancer deaths. So it is very important to detect or predict before it reaches to serious stages. If cancer predicted in its early stages, then it helps to save the lives. Statistical methods are generally used for classification of risks of cancer i.e. high risk or l…

lung cancer prediction using naive bayes but without using in build function. This paper presents a novel predictive model employing Naive Bayes classification, trained on comprehensive patient data encompassing 23 attributes like Alcohol use, Smoking, Coughing of Blood, and shortness of breath etc. Our model demonstrates significant promise

Performed survival analysis Veteran's Administration Lung Cancer Trial, where 137 patients with advanced, inoperable lung cancer were treated with chemotherapy (standard treatment) vs chemotherapy combined with a new drug (test treatment)