• Ravindra yadav
• Jay singh
• Vikas Vankhede

Abstract: As per the records of WHO 19.5 million people die every year. By the year 2050 it will rise up to 65 million [1]. The medical professionals associated with diabetic diseases have some limitations, they can predict the chances of kidney failure with the accuracy of 67% [2], for more accurate predictions doctors require a support system. The precision in predictions of kidney failure can be achieved by deep and an algorithm of machine learning . In this paper there is a lot of information about the state of art methods in deep learning and machine learning. To assist new researcher’s active in this area an analytical comparison has been provided.

Machine learning, kidney faliure, Decision Tree, Naive Bayes, Neural Network, Deep Learning and SVM.

"Survey on Kidney Disease Prediction by using Machine Learning Technique ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.140-146, March-2019, Available :http://www.jetir.org/papers/JETIR1903125.pdf

"Survey on Kidney Disease Prediction by using Machine Learning Technique ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp140-146, March-2019, Available at : http://www.jetir.org/papers/JETIR1903125.pdf