Published Paper Details:

One of the most serious illnesses nowadays is chronic kidney disease, for which a correct diagnosis must be made as soon as possible. Machine learning techniques are currently used in medicine. The clinician can identify the ailment early with the use of a machine learning system. In this paper , chronic kidney disease prediction has been covered. Disease prediction and detection is a vital and difficult subject since it aids in early disease diagnosis by assisting pathologists and medical professionals in their decision-making.In recent studies and research, "The Artificial Neural Network" provides a useful method to address a variety of everyday issues in life or in many different fields, such as the medical field, where it can be used to anticipate a specific disease based on some provided data. In this article, we use the ANN approach to describe a system for predicting chronic kidney disease.This neural network output lets us know whether a patient has chronic renal illness or not. Artificial neural networks produce outcomes that are more accurate than those of other machine learning algorithms in the aforementioned topic of kidney disease prediction after extensive investigation.