This paper is published in Volume-7, Issue-4, 2021
Area
Computer Science Engineering
Author
Dr. K. V. Sambasiva Rao, J. Bhagya Lakshmi, E. Likhitha, Ch. Lakshmi Kalyani
Org/Univ
NRI Institute of Technology, Vijayawada, Andhra Pradesh, India
Pub. Date
27 August, 2021
Paper ID
V7I4-1781
Publisher
Keywords
Machine Learning, SVM, Random Forest, Chronic Kidney Disease, Disease Prediction

Citationsacebook

IEEE
Dr. K. V. Sambasiva Rao, J. Bhagya Lakshmi, E. Likhitha, Ch. Lakshmi Kalyani. Chronic kidney disease prediction using Machine Learning, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Dr. K. V. Sambasiva Rao, J. Bhagya Lakshmi, E. Likhitha, Ch. Lakshmi Kalyani (2021). Chronic kidney disease prediction using Machine Learning. International Journal of Advance Research, Ideas and Innovations in Technology, 7(4) www.IJARIIT.com.

MLA
Dr. K. V. Sambasiva Rao, J. Bhagya Lakshmi, E. Likhitha, Ch. Lakshmi Kalyani. "Chronic kidney disease prediction using Machine Learning." International Journal of Advance Research, Ideas and Innovations in Technology 7.4 (2021). www.IJARIIT.com.

Abstract

The feature of Kidneys is to clear out the blood and to do away with wastes from the body. All of the blood in our body passes through the kidneys several instances a day. The kidneys get rid of wastes, manage the body’s fluid stability, and modify the stability of electrolytes, it’s feasible to lose as a good deal as 90% of kidney function without experiencing any signs and symptoms or problem. Kidney ailment is a silent killer detection and prevention need to be achieved before the scenario receives even worse and the situation is known as continual kidney sickness also known as chronic kidney disease (CKD) or a chronic renal disorder. It is essential to have powerful methods for early prediction of CKD, machine learning strategies are powerful in CKD prediction, In this paper, statistics are acquired from the patients, and then the prediction is done whether that individual is having any continual kidney disorder or not.