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 …

[HTML][HTML] Chi2-MI: A hybrid feature selection based machine learning approach in diagnosis of chronic kidney disease

SK Dey, KMM Uddin, HMH Babu, MM Rahman… - Intelligent Systems with …, 2022 - Elsevier
Early detection and characterization are considered crucial in treating and controlling the
chronic renal disease. Because of the rising number of patients, the high risk of progression …

[HTML][HTML] Prediction of chronic kidney disease using different classification algorithms

KM Almustafa - Informatics in Medicine Unlocked, 2021 - Elsevier
Chronical kidney disease (CKD) is a common kidney function problem that causes
deterioration of kidney performance and leads to kidney failure. An early diagnostic …

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 …

Efficient data preprocessing with ensemble machine learning technique for the early detection of chronic kidney disease

VK Venkatesan, MT Ramakrishna, I Izonin… - Applied Sciences, 2023 - mdpi.com
It is a serious global health concern that chronic kidney disease (CKD) kills millions of
people each year as a result of poor lifestyle choices and inherited factors. Effective …

Clinically applicable machine learning approaches to identify attributes of chronic kidney disease (CKD) for use in low-cost diagnostic screening

M Rashed-Al-Mahfuz, A Haque, A Azad… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Objective: Chronic kidney disease (CKD) is a major public health concern worldwide. High
costs of late-stage diagnosis and insufficient testing facilities can contribute to high morbidity …

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 …

Detection of the chronic kidney disease using XGBoost classifier and explaining the influence of the attributes on the model using SHAP

MJ Raihan, MAM Khan, SH Kee, AA Nahid - Scientific Reports, 2023 - nature.com
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 …

Performance based evaluation of various machine learning classification techniques for chronic kidney disease diagnosis

S Sharma, V Sharma, A Sharma - arXiv preprint arXiv:1606.09581, 2016 - arxiv.org
Areas where Artificial Intelligence (AI) & related fields are finding their applications are
increasing day by day, moving from core areas of computer science they are finding their …

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 …