Chronic kidney disease prediction using boosting techniques based on clinical parameters
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 …
yearly deaths. Predicting the possibility of a person being affected by the disease will allow …
Performance based evaluation of various machine learning classification techniques for chronic kidney disease diagnosis
Areas where Artificial Intelligence (AI) & related fields are finding their applications are
increasing day by day, moving from core areas of computer science they are finding their …
increasing day by day, moving from core areas of computer science they are finding their …
Machine learning algorithms' accuracy in predicting kidney disease progression: a systematic review and meta-analysis
N Lei, X Zhang, M Wei, B Lao, X Xu, M Zhang… - BMC Medical Informatics …, 2022 - Springer
Background Kidney disease progression rates vary among patients. Rapid and accurate
prediction of kidney disease outcomes is crucial for disease management. In recent years …
prediction of kidney disease outcomes is crucial for disease management. In recent years …
Comprehensive performance assessment of deep learning models in early prediction and risk identification of chronic kidney disease
The incidence of chronic kidney disease (CKD) is rising rapidly around the globe.
Asymptomatic CKD is common and guideline-directed monitoring to predict CKD by various …
Asymptomatic CKD is common and guideline-directed monitoring to predict CKD by various …
Predicting chronic kidney disease using hybrid machine learning based on apache spark
MA Abdel-Fattah, NA Othman… - Computational …, 2022 - Wiley Online Library
Chronic kidney disease (CKD) has become a widespread disease among people. It is
related to various serious risks like cardiovascular disease, heightened risk, and end‐stage …
related to various serious risks like cardiovascular disease, heightened risk, and end‐stage …
[PDF][PDF] Simulation, modeling, and optimization of intelligent kidney disease predication empowered with computational intelligence approaches
Artificial intelligence (AI) is expanding its roots in medical diagnostics. Various acute and
chronic diseases can be identified accurately at the initial level by using AI methods to …
chronic diseases can be identified accurately at the initial level by using AI methods to …
Ensemble of deep learning based clinical decision support system for chronic kidney disease diagnosis in medical internet of things environment
SA Alsuhibany, S Abdel-Khalek… - Computational …, 2021 - Wiley Online Library
Recently, Internet of Things (IoT) and cloud computing environments become commonly
employed in several healthcare applications by the integration of monitoring things such as …
employed in several healthcare applications by the integration of monitoring things such as …
[HTML][HTML] Prediction of chronic kidney disease using different classification algorithms
KM Almustafa - Informatics in Medicine Unlocked, 2021 - Elsevier
Chronical kidney disease (CKD) is a common kidney function problem that causes
deterioration of kidney performance and leads to kidney failure. An early diagnostic …
deterioration of kidney performance and leads to kidney failure. An early diagnostic …
A machine learning methodology for diagnosing chronic kidney disease
Chronic kidney disease (CKD) is a global health problem with high morbidity and mortality
rate, and it induces other diseases. Since there are no obvious symptoms during the early …
rate, and it induces other diseases. Since there are no obvious symptoms during the early …
Optimization of prediction method of chronic kidney disease using machine learning algorithm
Chronic Kidney disease (CKD), a slow and late-diagnosed disease, is one of the most
important problems of mortality rate in the medical sector nowadays. Based on this critical …
important problems of mortality rate in the medical sector nowadays. Based on this critical …