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 …

A comprehensive analysis on detecting chronic kidney disease by employing machine learning algorithms

MM Nishat, F Faisal, RR Dip… - … on Pervasive Health …, 2021 - publications.eai.eu
Abstract INTRODUCTION: Chronic Kidney Disease refers to the slow, progressive
deterioration of kidney functions. However, the impairment is irreversible and imperceptible …

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 …

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 …

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 …

Machine learning hybrid model for the prediction of chronic kidney disease

H Khalid, A Khan, M Zahid Khan… - Computational …, 2023 - Wiley Online Library
To diagnose an illness in healthcare, doctors typically conduct physical exams and review
the patient's medical history, followed by diagnostic tests and procedures to determine the …

[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 …

Chronic kidney disease diagnosis using decision tree algorithms

H Ilyas, S Ali, M Ponum, O Hasan, MT Mahmood… - BMC nephrology, 2021 - Springer
Abstract Background Chronic Kidney Disease (CKD), ie, gradual decrease in the renal
function spanning over a duration of several months to years without any major symptoms, is …

Predicting the risk of chronic kidney disease (ckd) using machine learning algorithm

W Wang, G Chakraborty, B Chakraborty - Applied Sciences, 2020 - mdpi.com
Background: Creatinine is a type of metabolite of blood that is strongly correlated to
glomerular filtration rate (GFR). As measuring GFR is difficult, creatinine value is used for …

Prediction of chronic kidney disease-a machine learning perspective

P Chittora, S Chaurasia, P Chakrabarti… - IEEE …, 2021 - ieeexplore.ieee.org
Chronic Kidney Disease is one of the most critical illness nowadays and proper diagnosis is
required as soon as possible. Machine learning technique has become reliable for medical …