[HTML][HTML] Toward comprehensive chronic kidney disease prediction based on ensemble deep learning models
Chronic kidney disease (CKD) refers to the gradual decline of kidney function over months
or years. Early detection of CKD is crucial and significantly affects a patient's decreasing …
or years. Early detection of CKD is crucial and significantly affects a patient's decreasing …
[HTML][HTML] Deep-kidney: an effective deep learning framework for chronic kidney disease prediction
Chronic kidney disease (CKD) is one of today's most serious illnesses. Because this disease
usually does not manifest itself until the kidney is severely damaged, early detection saves …
usually does not manifest itself until the kidney is severely damaged, early detection saves …
An ensemble deep learning approach for Chronic kidney disease (CKD) prediction
A form of chronic disease-related kidney that causes a progressive decrease in kidney
function over time is Chronic kidney disease (CKD). The kidney's primary role is to filter …
function over time is Chronic kidney disease (CKD). The kidney's primary role is to filter …
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 …
[HTML][HTML] Early prediction of chronic kidney disease: A comprehensive performance analysis of deep learning models
C Mondol, FMJM Shamrat, MR Hasan, S Alam… - Algorithms, 2022 - mdpi.com
Chronic kidney disease (CKD) is one of the most life-threatening disorders. To improve
survivability, early discovery and good management are encouraged. In this paper, CKD …
survivability, early discovery and good management are encouraged. In this paper, CKD …
[HTML][HTML] Early prediction of chronic kidney disease based on ensemble of deep learning models and optimizers
Recent studies have proven that data analytics may assist in predicting events before they
occur, which may impact the outcome of current situations. In the medical sector, it has been …
occur, which may impact the outcome of current situations. In the medical sector, it has been …
An ensemble learning-based model for effective chronic kidney disease prediction
S Kumari, SK Singh - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Due to rising chronic kidney disease (CKD) cases across the globe, it is required to be
detected and diagnosed effectively. Machine learning-based models can be an effective tool …
detected and diagnosed effectively. Machine learning-based models can be an effective tool …
Early prediction of chronic kidney disease using deep belief network
SMM Elkholy, A Rezk, AAEF Saleh - IEEE Access, 2021 - ieeexplore.ieee.org
Chronic kidney disease (CKD) is still a health concern despite advances in surgical care
and treatment. CKD's growth in recent years has gained much interest from researchers …
and treatment. CKD's growth in recent years has gained much interest from researchers …
Machine learning models for chronic kidney disease diagnosis and prediction
MM Rahman, M Al-Amin, J Hossain - Biomedical Signal Processing and …, 2024 - Elsevier
Background and objective Chronic kidney disease is a severe health problem that affects
people all over the world, particularly in South Asia. Therefore, proper diagnosis and …
people all over the world, particularly in South Asia. Therefore, proper diagnosis and …
Optimized Ensemble Machine Learning Model for Chronic Kidney Disease Prediction
C Choudhary, LS Nagra, P Das, J Singh… - 2023 International …, 2023 - ieeexplore.ieee.org
The prevalence of chronic kidney illness has been increasing by a rate of 41.5 over the past
few years, posing a significant challenge for healthcare systems worldwide. The disease is …
few years, posing a significant challenge for healthcare systems worldwide. The disease is …