Hybrid kernel support vector machine classifier and grey wolf optimization algorithm based intelligent classification algorithm for chronic kidney disease
LJ Rubini, E Perumal - Journal of Medical Imaging and Health …, 2020 - ingentaconnect.com
In the present day, distributed algorithms become more popular due to their diversity in
several applications. The prediction and reorganization of medical data required more …
several applications. The prediction and reorganization of medical data required more …
Rule induction and prediction of chronic kidney disease using boosting classifiers, Ant-Miner and J48 Decision Tree
SH Ripon - 2019 international conference on electrical …, 2019 - ieeexplore.ieee.org
Chronic Kidney Disease (CKD) is one of the deadliest diseases that slowly damages human
kidney. The disease remains undetected in its early stage and the patients can only realize …
kidney. The disease remains undetected in its early stage and the patients can only realize …
Prediction of chronic kidney disease (CKD) using Data Science
NVG Raju, KP Lakshmi… - … and Control Systems …, 2019 - ieeexplore.ieee.org
Chronic kidney disease (CKD) is a perennial condition where the kidneys deteriorate and
stop functioning gradually. This disease has become one of the major public health …
stop functioning gradually. This disease has become one of the major public health …
Supervised machine learning for the assessment of chronic kidney disease advancement
P Ventrella, G Delgrossi, G Ferrario, M Righetti… - Computer methods and …, 2021 - Elsevier
ABSTRACT Background and objective: Chronic Kidney Disease (CKD) is a condition
characterized by a progressive loss of kidney function over time caused by many diseases …
characterized by a progressive loss of kidney function over time caused by many diseases …
Individualized prediction of chronic kidney disease for the elderly in longevity areas in China: Machine learning approaches
Background Chronic kidney disease (CKD) has become a major public health problem
worldwide and has caused a huge social and economic burden, especially in developing …
worldwide and has caused a huge social and economic burden, especially in developing …
Prediction and diagnosis of chronic kidney disease development and progression using machine-learning: Protocol for a systematic review and meta-analysis of …
F Chen, P Kantagowit, T Nopsopon, A Chuklin… - Plos one, 2023 - journals.plos.org
Chronic Kidney disease (CKD) is an important yet under-recognized contributor to morbidity
and mortality globally. Machine-learning (ML) based decision support tools have been …
and mortality globally. Machine-learning (ML) based decision support tools have been …
Machine learning prediction models for chronic kidney disease using national health insurance claim data in Taiwan
Chronic kidney disease (CKD) represents a heavy burden on the healthcare system
because of the increasing number of patients, high risk of progression to end-stage renal …
because of the increasing number of patients, high risk of progression to end-stage renal …
A systematic review finds prediction models for chronic kidney disease were poorly reported and often developed using inappropriate methods
GS Collins, O Omar, M Shanyinde, LM Yu - Journal of clinical epidemiology, 2013 - Elsevier
BACKGROUND: Chronic kidney disease (CKD) is a global health concern that is increasing
mainly as the result of increasing incidences of diabetes and hypertension. Furthermore, if …
mainly as the result of increasing incidences of diabetes and hypertension. Furthermore, if …
[HTML][HTML] Development and external validation of a machine learning model for progression of CKD
Introduction Prediction of disease progression at all stages of chronic kidney disease (CKD)
may help improve patient outcomes. As such, we aimed to develop and externally validate a …
may help improve patient outcomes. As such, we aimed to develop and externally validate a …
Machine learning to predict end stage kidney disease in chronic kidney disease
Q Bai, C Su, W Tang, Y Li - Scientific reports, 2022 - nature.com
The purpose of this study was to assess the feasibility of machine learning (ML) in predicting
the risk of end-stage kidney disease (ESKD) from patients with chronic kidney disease …
the risk of end-stage kidney disease (ESKD) from patients with chronic kidney disease …