• J Sarada
• Dr.N.V. Muthu Lakshmi

Abstract: - Chronic Kidney Disease is the most common disease which affects the renal system and makes the kidney in the Chronic Renal Failure. This Chronic Kidney Disease is caused by various factors like diabetes, renal disturbance, kidney stones etc. To Find and Predict the presence of the Chronic Kidney Disease, Earlier the author has proposed the method using the serum of the patient and contributing with the exact value with the default value. In this paper we implement the process of inputting the MRI image of the Kidney and estimate the presence of the Chronic Kidney Disease. The Size and Position of the MRI Image and its characteristic value of functioning is taken into consideration and the presence of the disease is predicted. The results are obtained from each parametrical evaluation and with the results the prediction and presence of the Chronic Kidney disease is evaluated. The Experimental results shows the algorithmic evaluations are showing the comparatively high accuracy and performance. The experimental results are evaluated to find that gives the intended results.

Chronic Kidney Disease, MRI Image, Hierarchical Decision Tree Projection Algorithm, Machine Learning.

"MACHINE LEARNING IMPLEMENTATION OF HIERARCHIAL DECISION-TREE PROJECTION ALGORITHM USING MRI IMAGE CORTEX EVALUTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 10, page no.b477-b483, October-2021, Available :http://www.jetir.org/papers/JETIR2110153.pdf

"MACHINE LEARNING IMPLEMENTATION OF HIERARCHIAL DECISION-TREE PROJECTION ALGORITHM USING MRI IMAGE CORTEX EVALUTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 10, page no. ppb477-b483, October-2021, Available at : http://www.jetir.org/papers/JETIR2110153.pdf