[HTML][HTML] A survey of machine learning in kidney disease diagnosis
J Qezelbash-Chamak, S Badamchizadeh… - Machine Learning with …, 2022 - Elsevier
Applications of Machine learning (ML) in health informatics have gained increasing
attention. The timely diagnosis of kidney disease and the subsequent immediate response …
attention. The timely diagnosis of kidney disease and the subsequent immediate response …
XGBoost model for chronic kidney disease diagnosis
A Ogunleye, QG Wang - IEEE/ACM transactions on …, 2019 - ieeexplore.ieee.org
Chronic Kidney Disease (CKD) is a menace that is affecting 10 percent of the world
population and 15 percent of the South African population. The early and cheap diagnosis of …
population and 15 percent of the South African population. The early and cheap diagnosis of …
Prediction of chronic kidney disease and its progression by artificial intelligence algorithms
Background and objective Aim of nephrologists is to delay the outcome and reduce the
number of patients undergoing renal failure (RF) by applying prevention protocols and …
number of patients undergoing renal failure (RF) by applying prevention protocols and …
Neural network and support vector machine for the prediction of chronic kidney disease: A comparative study
NA Almansour, HF Syed, NR Khayat… - Computers in biology …, 2019 - Elsevier
This paper aims to assist in the prevention of Chronic Kidney Disease (CKD) by utilizing
machine learning techniques to diagnose CKD at an early stage. Kidney diseases are …
machine learning techniques to diagnose CKD at an early stage. Kidney diseases are …
Detection and diagnosis of chronic kidney disease using deep learning-based heterogeneous modified artificial neural network
F Ma, T Sun, L Liu, H Jing - Future Generation Computer Systems, 2020 - Elsevier
The prevalence of chronic kidney disease (CKD) increases annually in the present scenario
of research. One of the sources for further therapy is the CKD prediction where the Machine …
of research. One of the sources for further therapy is the CKD prediction where the Machine …
A machine learning model for improving healthcare services on cloud computing environment
Recently, cloud computing gained an important role in healthcare services (HCS) due to its
ability to improve the HCS performance. However, the optimal selection of virtual machines …
ability to improve the HCS performance. However, the optimal selection of virtual machines …
Comparison and development of machine learning tools in the prediction of chronic kidney disease progression
J Xiao, R Ding, X Xu, H Guan, X Feng, T Sun… - Journal of translational …, 2019 - Springer
Background Urinary protein quantification is critical for assessing the severity of chronic
kidney disease (CKD). However, the current procedure for determining the severity of CKD …
kidney disease (CKD). However, the current procedure for determining the severity of CKD …
Chronic kidney disease prediction using machine learning techniques
DA Debal, TM Sitote - Journal of Big Data, 2022 - Springer
Goal three of the UN's Sustainable Development Goal is good health and well-being where
it clearly emphasized that non-communicable diseases is emerging challenge. One of the …
it clearly emphasized that non-communicable diseases is emerging challenge. One of the …
[HTML][HTML] Fuzzy logic-based systems for the diagnosis of chronic kidney disease
G Murugesan, TI Ahmed, J Bhola… - BioMed Research …, 2022 - ncbi.nlm.nih.gov
Kidney failure occurs whenever the kidney stops to operate properly and would be unable to
cleanse or refine the bloodstream as it should. Chronic kidney disease (CKD) is a potentially …
cleanse or refine the bloodstream as it should. Chronic kidney disease (CKD) is a potentially …
Detection of the chronic kidney disease using XGBoost classifier and explaining the influence of the attributes on the model using SHAP
Chronic kidney disease (CKD) is a condition distinguished by structural and functional
changes to the kidney over time. Studies show that 10% of adults worldwide are affected by …
changes to the kidney over time. Studies show that 10% of adults worldwide are affected by …