Detection of Genetic Colon Cancer

Colon cancer is fourth kind of cancer which is very common worldwide and every year many people die due to this disease. The worst part of this cancer is that it does not have any initial symptoms and the patient is totally unaware of the syndrome. Family history, environmental and individual traits are common cause of the colon cancer. About 5% 10% colon cancer is heredity and it means it passes from one generation to another generation. The gene mutation is also a big factor that causes colon cancer. In this paper we trained our machine to predict colon cancer on the basis of information enclosed in the DNA. To train the machine we used different algorithm such random forest, naive bayes, decision tree,K-nearest neighbor and k-means. We achieved 81% accuracy by using the random forest tree. It means if we have a sample of the genes then it’s more likely that we can predict the genetic colon cancer and hence will be able to provide early treatment to the patients.