Experimentation Based on Decision Tree Induction Analysis for Hepatitis Patients

Abstract

This paper is about Hepatitis medical diagnosis using decision tree induction algorithm in machine learning. This paper describes experimentation of decision tree induction analysis for hepatitis patients. A chain reaction process is taken with the help of an algorithm if so decision trees are produced, in turn producing rules to analysis for hepatitis patients. This system shows the stages of how the rules are produced and the factors that will influence the end rules. This paper includes data mining information from a patient record using a domain to symptom and processor for creating a patient model of diagnostic process. This system used ID3 decision tree learning algorithm.