A Survey Study on Chronic Kidney Disease using Machine Learning

Registration ID: IJNRD_181377

Published ID: IJNRD2205203

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Ajaykumar Eklare

Chronic Kidney Disease, UCI

Chronic kidney infection is a major and growing problem in Developing countries. It is one of the most well-known health concerns, with an increasing demand for early detection in order to provide Prosperous and eternal care. Chronic Kidney Disorder can affect one out of every five men and one for every four women worldwide in between both the ages of 65 and 74. (CKD). (CKD) affects 10% of the world population, and millions of people die each year owing to a lack of inexpensive treatment options. Many factors contribute to the progressive decline of kidney function over time, including haemoglobin, blood pressure, diabetes, and obesity. The severity of chronic renal failure is divided into several phases. To minimize further deterioration, a better diagnosis of chronic renal disease is needed. We're looking at alternative models that can detect the presence of CKD based on specific input characteristics.

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Ajaykumar Eklare (May-2022). A Survey Study on Chronic Kidney Disease using Machine Learning. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(5), 1562-1568. https://ijnrd.org/papers/IJNRD2205203.pdf

Volume 7 Issue 5, May-2022

Pages : 1562-1568

Paper Reg. ID: IJNRD_181377

Published Paper Id: IJNRD2205203

Downloads: 000122256

Research Area: Information Technology 

Author Type: Indian Author

Country: Wagholi, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2205203.pdf

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