Prediction of liver cancer using Conditional probability Bayes theorem

Cancer is the one of the hazardous disease in the world. Cancer spreads in lungs, liver, breast, bones etc. Liver cancer is the most dangerous and it will continue lifelong. The symptoms of liver cancer are Jaundice, loss of weight, yellow colored urine, vomiting, pain in the upper right abdomen, sweats, fever and enlarged liver. The liver cancer which begins in the liver apart from moving from other part of the body is called as a primary liver cancer. Cancer which spreads all other part of the body and finally it reaches liver is called as secondary liver cancer. Liver is one of the important part of the human. WHO surveys say out of 100,000 people, around 30 people are suffered from liver cancer and mostly it affects the African and Asian countries earlier. Nowadays it became a popular disease The most common kind of a liver cancer is called as hepatocellular carcinoma, this particular affects male rather than female. The liver cancer occurs mainly due to the more alcohol consumption. Many data mining algorithms, Artificial intelligence concepts are used to predict the liver cancer. The probability of predicting the liver cancer is performed using the Bayes theory with the WEKA tool.