Liver Tumor Risk Prediction using Ensemble Methods

Liver cancer is a life-threatening disease. There has been a huge technological advancement in the field of detecting the liver tumors by using Neural Networks once they are formed. In the case of liver tumors, prevention of tumor formation is more important but discovering the liver tumor problem even before the tumor formation is a life saver process. Liver cancer can also even be detected from the abnormal results in the blood test reports. So, in this paper a model is developed such that it detects the liver tumors from the blood test reports. ILPD (Indian Liver Patient Dataset) [1] [2] is used for training the supervised machine learning techniques for the two-class classification.