Version 2 2021-05-20, 13:47Version 2 2021-05-20, 13:47
Version 1 2021-05-19, 09:08Version 1 2021-05-19, 09:08
conference contribution
posted on 2021-05-20, 13:47authored byPattan Faizal Khan, Muppidi Rohitha Reddy, Kallu Samatha, Rayapati Akhil Chowdary, Pvrd Prasada Rao
Here, we have
proposed an approach for real time kidney disease
prediction. Our aim is to find the best and efficient
machine learning (ML) application that can effectively
recognize and predict the condition of chronic kidney
disease. We have used the data from UCI machine
learning repository.