EXPEDITION OF MACHINE LEARNING TECHNIQUES TO SCRUTINIZE STAGING OF HEPATOCELLULAR CARCINOMA

Machine learning is a speculation where in the computer learns beyond the need for programming it in a precise function. Machine learning enables system to learn from data and the model can comply with the new data. Healthcare is a sophisticated field which generates tremendous data every day. Hepatocellular Carcinoma (HCC) being a liver malignancy often leads to highest mortality when not treated on time. HCC is diagnosed in stages, early to severe which is dealt by following staging system. The current work is on staging of HCC based on the imaging reports of the patients. Machine learning regression techniques is applied on the dataset. Regression techniques are applied and compared to obtain better accuracy.