Abstract: Chronic kidney disease (CKD) is a type of kidney disease in which there is a gradual loss of kidney function over a period of months or years. Predicting this disease is one of the most important issues in the medical field. An automated tool that uses machine learning techniques to determine the condition of a patient's kidneys. This allows doctors to predict chronic kidney disease and provide better treatment. The proposed system can extract the causative features of CKD and automate classification into various stages according to the severity of chronic kidney disease through a machine learning process. The goal is to use machine learning algorithms and medical test record classification algorithms to suggest appropriate dietary plans for CKD patients. Diet recommendations for patients will be given according to potassium zone, which is calculated using blood potassium level to slow down the progression of CKD.

| DOI: 10.17148/IARJSET.2022.9738