Chronic kidney disease (CKD) has become a major global health crisis, causing millions of yearly deaths. Predicting the possibility of a person being affected by the disease will allow …
SS Vellela, LR Vuyyuru… - … and Informatics (IC3I …, 2023 - ieeexplore.ieee.org
The loss of kidney function is called Chronic Kidney Disease (CKD). Over a period of years or months, Chronic Kidney Disease is an uncharacteristic functioning of kidney or a failure of …
Objective: Chronic kidney disease (CKD) is a major public health concern worldwide. High costs of late-stage diagnosis and insufficient testing facilities can contribute to high morbidity …
Classification is the most commonly applied machine learning technique that classifies large population of records based on the training set and the feature values. The important task of …
Chronic kidney disease (CKD) is an increasing medical issue that declines the productivity of renal capacities and subsequently damages the kidneys. CKD is very common nowadays; …
Objectives In this systematic review we aimed at assessing how artificial intelligence (AI), including machine learning (ML) techniques have been deployed to predict, diagnose, and …
GM Ifraz, MH Rashid, T Tazin… - … Methods in Medicine, 2021 - Wiley Online Library
Chronic kidney disease (CKD) is a major burden on the healthcare system because of its increasing prevalence, high risk of progression to end‐stage renal disease, and poor …
MM Hossain, RA Swarna, R Mostafiz, P Shaha… - Machine Learning with …, 2022 - Elsevier
Chronic kidney disease (CKD) slowly decreases one's kidney ability. A machine learning (ML) based early CKD diagnosis scheme can be an effective solution to reduce this harm …