Open AccessPredicting Chronic Kidney Disease Using KNN Algorithm
Author(s) -
V. Mareeswari,
Sunita Chalageri,
Kavita Patil
Publication year - 2021
Publication title -
acs journal for science and engineering
Language(s) - English
Resource type - Journals
ISSN - 2582-9610
DOI - 10.34293/acsjse.v1i2.10
Subject(s) - kidney disease , patience , machine learning , computer science , artificial intelligence , disease , intensive care medicine , medicine , damages , psychology , social psychology , political science , law
Chronic kidney disease (CKD) is a world heath issues, and that also includes damages and can’t filter blood the way it should be. since we cannot predict the early stages of CKD, patience will fail to recognise the disease. Pre detection of CKD will allow patience to get timely facility to ameliorate the progress of the disease. Machine learning models will effectively aid clinician’s progress this goal because of the early and accurate recognition performances. The CKD data set is collected from the University of California Irvine (UCI) Machine Learning Recognition. Multiple Machine and deep learning algorithm used to predict the chronic kidney disease.