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)
Now a days technological development including machine learning, plays an enormous role on health and prediction of diseases. Kidney disease is a vital chronic disease related with ageing, diabetes, people with hypertension and people ageing 60 and above. Diagnosis of CKD is commonly tending to spread, costly, laborious and risky. CKD results in loss of kidney function little by little. The circumstances can be noticed above a period of years or months. Machine learning represents one ocular network has been put in on the same dataset. The aim is to construct a live application by machine learning techniques KNN algorithms and Naïve bayes.
Keywords:
CKD, EGFR, URINALYSIS
Cite Article:
"PREDICTION OF 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.201-204, May-2022, Available :http://www.ijnrd.org/papers/IJNRDA001037.pdf
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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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