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 …

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 algorithms' accuracy in predicting kidney disease progression: a systematic review and meta-analysis

N Lei, X Zhang, M Wei, B Lao, X Xu, M Zhang… - BMC Medical Informatics …, 2022 - Springer
Background Kidney disease progression rates vary among patients. Rapid and accurate
prediction of kidney disease outcomes is crucial for disease management. In recent years …

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 …

Comprehensive performance assessment of deep learning models in early prediction and risk identification of chronic kidney disease

S Akter, A Habib, MA Islam, MS Hossen… - IEEE …, 2021 - ieeexplore.ieee.org
The incidence of chronic kidney disease (CKD) is rising rapidly around the globe.
Asymptomatic CKD is common and guideline-directed monitoring to predict CKD by various …

[PDF][PDF] Simulation, modeling, and optimization of intelligent kidney disease predication empowered with computational intelligence approaches

AH Khan, MA Khan, S Abbas… - … Materials & Continua, 2021 - cdn.techscience.cn
Artificial intelligence (AI) is expanding its roots in medical diagnostics. Various acute and
chronic diseases can be identified accurately at the initial level by using AI methods to …

Ensemble of deep learning based clinical decision support system for chronic kidney disease diagnosis in medical internet of things environment

SA Alsuhibany, S Abdel-Khalek… - Computational …, 2021 - Wiley Online Library
Recently, Internet of Things (IoT) and cloud computing environments become commonly
employed in several healthcare applications by the integration of monitoring things such as …

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 …

[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 …

A machine learning methodology for diagnosing chronic kidney disease

J Qin, L Chen, Y Liu, C Liu, C Feng, B Chen - IEEE Access, 2019 - ieeexplore.ieee.org
Chronic kidney disease (CKD) is a global health problem with high morbidity and mortality
rate, and it induces other diseases. Since there are no obvious symptoms during the early …