Diagnosis Kidney Function Test Using Machine Learning Algorithm Based on Runge Kutta Method

Abstract

A main objective of the research to analyse the diagnosis of Kidney function test by the fluctuation of parameter in learning level. In this research work focuses on the machine learning techniques which treat to implement by supervised learning method by the comparison of three algorithm, such as Hybrid Method- AdaBoost with C4.5 algorithm using Runge Kutta method, 10-fold- cross validation in C4.5 and Random Forest under bagging method. Finally, an experimental performance can be analysed by applying machine learning technique to diagnosis patients’ medical data and analyse the work performance of these learning algorithm, which one is better in performance analysis.