PREDICTION OF CHRONIC KIDNEY DISEASE -USING MACHINE LEARNING

Registration ID: IJNRD_181131

Published ID: IJNRDA001037

DOI: Click Here to Get

S Mary Rexcy Asha , Sanjhana Dinesh , Thrisha R , Vidhya V , Swetha K

CKD, EGFR, URINALYSIS

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.

Published Paper   E-Certificate

S Mary Rexcy Asha, Sanjhana Dinesh, Thrisha R, Vidhya V, & Swetha K (May-2022). PREDICTION OF CHRONIC KIDNEY DISEASE -USING MACHINE LEARNING. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(5), 201-204. https://ijnrd.org/papers/IJNRDA001037.pdf

Volume 7 Issue 5, May-2022

Pages : 201-204

Paper Reg. ID: IJNRD_181131

Published Paper Id: IJNRDA001037

Downloads: 000121982

Research Area: Information Technology 

Country: chennai, Tamilnadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRDA001037.pdf

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