Paper Title
A Survey Study on Chronic Kidney Disease using Machine Learning
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Registration ID: IJNRD_181377
Published ID: IJNRD2205203
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Keywords
Chronic Kidney Disease, UCI
Abstract
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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How To Cite (APA)
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
Issue
Volume 7 Issue 5, May-2022
Pages : 1562-1568
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Paper Reg. ID: IJNRD_181377
Published Paper Id: IJNRD2205203
Research Area: Information Technologyรย
Author Type: Indian Author
Country: Wagholi, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2205203.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2205203
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