Enhancing kidney disease prediction with optimized forest and ECG signals data
M Binsawad - Heliyon, 2024 - cell.com
To improve the early detection of Chronic Kidney Disease (CKD) utilizing electrocardiogram
(ECG) data, this study explores the use of the Optimized Forest (Opt-Forest) model …
(ECG) data, this study explores the use of the Optimized Forest (Opt-Forest) model …
Multimodal deep learning for chronic kidney disease prediction: leveraging feature selection algorithms and ensemble models
NJ Subashini, K Venkatesh - International Journal of Computers …, 2023 - Taylor & Francis
This research presents an advanced approach to enhance disease diagnosis using
imbalanced medical datasets. Feature selection techniques, LASSO and Relief, are applied …
imbalanced medical datasets. Feature selection techniques, LASSO and Relief, are applied …
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 improves upon clinicians' prediction of end stage kidney disease
Background and Objectives Chronic kidney disease progression to ESKD is associated with
a marked increase in mortality and morbidity. Its progression is highly variable and difficult to …
a marked increase in mortality and morbidity. Its progression is highly variable and difficult to …
Deep learning-based electrocardiographic screening for chronic kidney disease
L Holmstrom, M Christensen, N Yuan… - Communications …, 2023 - nature.com
Background Undiagnosed chronic kidney disease (CKD) is a common and usually
asymptomatic disorder that causes a high burden of morbidity and early mortality worldwide …
asymptomatic disorder that causes a high burden of morbidity and early mortality worldwide …
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 …
Clinical Insight: Comparative Analysis of Deep Learning Models for Disease Prediction across Multifaceted Datasets
SK Binu, C Shanthi - 2024 Third International Conference on …, 2024 - ieeexplore.ieee.org
This research introduces an advanced model architecture for chronic disease detection,
leveraging highly developed artificial intelligence algorithms. The prototype combines the …
leveraging highly developed artificial intelligence algorithms. The prototype combines the …
Automation of the kidney function prediction and classification through ultrasound-based kidney imaging using deep learning
Prediction of kidney function and chronic kidney disease (CKD) through kidney ultrasound
imaging has long been considered desirable in clinical practice because of its safety …
imaging has long been considered desirable in clinical practice because of its safety …
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 …
Prediction of chronic kidney disease using adaptive hybridized deep convolutional neural network on the internet of medical things platform
G Chen, C Ding, Y Li, X Hu, X Li, L Ren, X Ding… - IEEE …, 2020 - ieeexplore.ieee.org
Chronic Kidney disease is a severe lifelong condition caused either by renal disease or by
impaired functions of the kidneys. In the present area of research, Kidney cancer is one of …
impaired functions of the kidneys. In the present area of research, Kidney cancer is one of …