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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | A Survey Study on Chronic Kidney Disease using Machine Learning |
| Authors Name: | Ajaykumar Eklare |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_181377
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| Published Paper Id: | IJNRD2205203 |
| Published In: | Volume 7 Issue 5, May-2022 |
| DOI: | |
| 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. |
| Keywords: | Chronic Kidney Disease, UCI |
| Cite Article: | "A Survey Study on Chronic Kidney Disease using Machine Learning", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 5, page no.1562-1568, May-2022, Available :http://www.ijnrd.org/papers/IJNRD2205203.pdf |
| Downloads: | 000118751 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2205203 Registration ID: 181377 Published In: Volume 7 Issue 5, May-2022 DOI (Digital Object Identifier): Page No: 1562-1568 Country: Wagholi, Maharashtra, India Research Area: Information Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2205203 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2205203 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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