Survey on Diagnosis of Chronic Kidney Disease UsingMachine Learning Algorithms

Abstract

Kidney Damage is otherwise known as Chronic Kidney Disease (CKD) which is a common term for various heterogeneous diseases in the kidneys. There are many cases with an imprecise diagnosis and extensively organized medical procedures may lead to many difficulties in the patient health. Hence, it is advisable to go for early diagnosis and prediction of kidney disease. The main aim of this research is to predict whether the patient is affected with CKD or not whereas the Machine Learning (ML) classification algorithms have been utilized to predict the value. The patient with CKD and non-CKD status can be predicted using various classification algorithms. This survey has discussed about various ML algorithms which utilized to diagnose kidney disease as well as the significant issues are explained briefly. Hence, this review about current study of ML applications in kidney disease is well recognized by clinicians and greatly enhances the clinical practice in future.