[HTML][HTML] A comparative assessment of artificial intelligence models used for early prediction and evaluation of chronic kidney disease
Abstract Chronic Kidney Disease (CKD) is one of the most prevalent and fatal diseases
influencing people on a larger that remains dormant until irreversible damage has been …
influencing people on a larger that remains dormant until irreversible damage has been …
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 …
Kidney failure detection and predictive analytics for CKD using machine learning procedures
SM Nimmagadda, SS Agasthi, A Shai… - … Methods in Engineering, 2023 - Springer
Kidneys are the functional units of our body. They assist in body balance by filtering the
wastes, toxins, and excess water from the bloodstream and are carried out of the body …
wastes, toxins, and excess water from the bloodstream and are carried out of the body …
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 …
Predicting Kidney Failure using an Ensemble Machine Learning Model: A Comparative Study
Within the domain of healthcare, medical diagnoses invariably necessitate comprehensive
physical examinations and meticulous reviews of patients' medical histories. This study …
physical examinations and meticulous reviews of patients' medical histories. This study …
A Comparative Analysis of Machine Learning Approaches for Chronic Kidney Disease Detection
RH Khan, J Miah, MAR Rahat… - 2023 8th …, 2023 - ieeexplore.ieee.org
In performing tests and diagnosing illness in healthcare, symptom experiment processes are
used to detect the fundamental cause of syndromes. In this research, we employed a …
used to detect the fundamental cause of syndromes. In this research, we employed a …
A modified weighted mean of vectors optimizer for Chronic Kidney disease classification
EH Houssein, A Sayed - Computers in Biology and Medicine, 2023 - Elsevier
Chronic kidney Disease (CKD), also known as chronic renal disease, is an illness that
affects the majority of adults and is defined by a progressive decrease in kidney function …
affects the majority of adults and is defined by a progressive decrease in kidney function …
Comparing Machine Learning Techniques for Detecting Chronic Kidney Disease in Early Stage
In medical care, side effect trial and error processes are utilized for the discovery of hidden
reasons for ailments and the determination of conditions. In our exploration, we used a …
reasons for ailments and the determination of conditions. In our exploration, we used a …
Data mining classification techniques for diabetes prediction
HR Abdulqadir, AM Abdulazeez… - Qubahan Academic …, 2021 - journal.qubahan.com
Diabetes may be predicted and prevented by exploring critical diabetes characteristics by
computational data extraction methods. This study proposed a system biology approach to …
computational data extraction methods. This study proposed a system biology approach to …
A Comprehensive Review of Text Mining Approaches for Predicting Human Behavior using Deep Learning Method
This article presents a systematic review of research on predicting human behavior through
unstructured textual data, employing a comprehensive selection process illustrated in a flow …
unstructured textual data, employing a comprehensive selection process illustrated in a flow …