Design and analysis of a novel hybrid approach for the prediction and diagnosis of CKD by using deep learning and Data mining

Volume 20 No 2 (2022)

Rishika Yadav

DOI: 10.48047/nq.2022.20.2.NQ22352

Abstract

Kidney diseases are very common now days, due to the lifestyle change. This is considered as very crucial because any person can only survive maximum 18 days if his/her both kidneys failed. So it is a challenge for clinicians to save the life of patients, that’s why the researchers in medical field continuously try to invent new methods to get rid of early detection, calculation and early cure of this CKD. The branch of data mining i.e. ML and DL provide better approaches to predict the image sorting of this disease datasets. This paper shows a hybrid data mining and deep learning approach for prediction of CKD and CRD.

Keywords

CKD, DP, Data Mining, Image classification

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