LIVER CANCER DETECTION USING MACHINE LEARNING

Abstract

In a human body function of the liver is important. Many persons are suffering from liver
disease, but they don't know it. The identification of liver diseases in the early stage helps a
patient get better treatment. If it is not diagnosed earlier, it may lead to various health issues.
To solve these issues, physicians need to examine whether the patient has been affected by
liver disease or not, based on the multiple parameters. In this paper, we classify the patients
who have liver disease or not by using different machine learning algorithms by comparing
the performance factors and predicting the better result. The liver dataset is retrieved from the
Kaggle dataset.