Hepatocellular Carcinoma (HCC) Liver Cancer prediction using Machine Learning Algorithms
Sanapala Rajesh, Nurul Amin Choudhury, Soumen Moulik
Abstract
In this paper, we have discussed regarding the prediction model of Hepatocellular carcinoma (HCC) liver cancer. As it is one of the most common types of liver cancer which takes the lives of thousands of people around the world, we have proposed a straight-forward approach of predicting the HCC liver cancer using publicly available dataset. Different types of data pre-processing are done on the dataset for extracting the most optimal information, and also different types of classification models (Like KNN, Decision Tree, etc.) are used in our experiment to see the prediction results. We achieved good results in terms of accuracy and computational time.
Topics & Concepts
Hepatocellular carcinomaLiver cancerDecision treeComputer scienceRandom forestMachine learningArtificial intelligenceCancerTree (set theory)AlgorithmMedicineInternal medicineMathematicsMathematical analysisArtificial Intelligence in HealthcareLiver Disease Diagnosis and Treatment