Enhanced prediction of chronic kidney disease using feature selection and boosted classifiers

ID Mienye, G Obaido, K Aruleba, OA Dada - International Conference on …, 2021 - Springer
Chronic kidney disease (CKD) is a widespread illness affecting humans globally. It poses a
significant challenge for societies and global health care systems. Specialized screening …

A machine learning method with filter-based feature selection for improved prediction of chronic kidney disease

SA Ebiaredoh-Mienye, TG Swart, E Esenogho… - Bioengineering, 2022 - mdpi.com
The high prevalence of chronic kidney disease (CKD) is a significant public health concern
globally. The condition has a high mortality rate, especially in developing countries. CKD …

A deep prediction of chronic kidney disease by employing machine learning method

D Baidya, U Umaima, MN Islam… - … on Trends in …, 2022 - ieeexplore.ieee.org
In recent years, people worldwide have been suffering from various types of kidney diseases
indescribably, among which chronic kidney disease (CKD) has exacerbated the situation …

[PDF][PDF] Chronic kidney disease prediction using machine learning

C Kaur, MS Kumar, A Anjum, MB Binda, MR Mallu… - Journal of Advances in …, 2023 - jait.us
The occurrence of Chronic Renal Disease (CRD), is also referred to as Chronic Kidney
Disease (CKD). It depicts a medical condition that harms the kidneys and has an impact on a …

An ensemble learning approach for chronic kidney disease prediction using different machine learning algorithms with correlation based feature selection

MM Hassan, T Ahamad, S Das - 2022 25th International …, 2022 - ieeexplore.ieee.org
Chronic Kidney Disease (CKD), also known as Chronic Renal Disease is considered one of
the biggest reasons acting behind deaths in adults all over the globe and the number is …

Chronic kidney disease prediction using boosting techniques based on clinical parameters

SM Ganie, PK Dutta Pramanik, S Mallik, Z Zhao - Plos one, 2023 - journals.plos.org
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 …

A comparative study, prediction and development of chronic kidney disease using machine learning on patients clinical records

MM Hassan, MM Hassan, S Mollick, MAR Khan… - Human-Centric …, 2023 - Springer
Abstract Chronic Kidney Disease (CKD) has become a major problem in modern times, and
it is dubbed the silent assassin due to its delayed signs. To overcome these critical issues …

Detection of chronic kidney disease using machine learning algorithms with least number of predictors

M Almasoud, TE Ward - International Journal of Soft Computing and Its …, 2019 - doras.dcu.ie
Chronic kidney disease (CKD) is one of the most critical health problems due to its
increasing prevalence. In this paper, we aim to test the ability of machine learning algorithms …

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 …

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 …