UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 3
March-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2203426


Registration ID:
321631

Page Number

e189-e194

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Title

Survey On Chronic Kidney Disease Prediction Using Machine Learning

Abstract

Chronic Kidney Disease (CKD) is a condition which results in loss of kidney function gradually over a period of time. Chronic kidney disease develops when the kidneys become damaged and are unable to filter the blood properly. This damage may cause wastes to build up in the body. Because CKD patients are at a higher risk of End Stage Renal Disease (ESRD), It has become a significant public health issue. Dialysis has cost the nation's health-care system billions of dollars in recent years, and the costs are expected to rise further. Most middle and lower-income people in developing countries cannot afford expensive medical treatment. Chronic kidney disease has no signs in its early stages. The severity of kidney disease can be determined by the estimated glomerular filtration rate (GFR) and albumin levels. We will develop a system based on clinical data that will use a machine learning algorithm to predict the disease in its early stages.

Key Words

Chronic Kidney Disease, Support Vector Machine, Machine Learning, End-Stage Renal Disease (ESRD)

Cite This Article

"Survey On Chronic Kidney Disease Prediction Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 3, page no.e189-e194, March-2022, Available :http://www.jetir.org/papers/JETIR2203426.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Survey On Chronic Kidney Disease Prediction Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 3, page no. ppe189-e194, March-2022, Available at : http://www.jetir.org/papers/JETIR2203426.pdf

Publication Details

Published Paper ID: JETIR2203426
Registration ID: 321631
Published In: Volume 9 | Issue 3 | Year March-2022
DOI (Digital Object Identifier):
Page No: e189-e194
Country: , , .
Area: Arts
ISSN Number: 2349-5162
Publisher: IJ Publication


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