A Review on Kidney Failure Prediction Using Machine Learning Models

BP Naveenya, J Premalatha - Reliability Engineering for Industrial …, 2024 - Springer
End-stage renal disease (ESRD), commonly known as kidney failure, is a critical medical
condition that has a significant impact on global health. Early detection of kidney failure is …

Predicting the Risk of Chronic Kidney Disease Using Machine Learning

X Xu - Available at SSRN 4636627, 2023 - papers.ssrn.com
Chronic kidney disease (CKD) is a progressive condition resulting in the gradual decline of
kidney function, impacting overall health and potentially leading to fatal consequences if not …

Predicting Kidney Failure using an Ensemble Machine Learning Model: A Comparative Study

MS Haque, MS Amin, S Ahmad… - 2023 10th …, 2023 - ieeexplore.ieee.org
Within the domain of healthcare, medical diagnoses invariably necessitate comprehensive
physical examinations and meticulous reviews of patients' medical histories. This study …

[HTML][HTML] Predicting the Progression of Chronic Kidney Disease: A Systematic Review of Artificial Intelligence and Machine Learning Approaches

F Khalid, L Alsadoun, F Khilji, M Mushtaq… - Cureus, 2024 - ncbi.nlm.nih.gov
Chronic kidney disease (CKD) is a progressive condition characterized by gradual loss of
kidney function, necessitating timely monitoring and interventions. This systematic review …

Comparative Analysis of Machine Learning Classification Techniques for Kidney Disease Prediction

J Bagade, NP Sable, KM Birare - Data-Centric Artificial Intelligence for … - taylorfrancis.com
To find the high-risk people before they experience final-stage renal failure, an accurate
early prediction model must be created considering the rise in the incidence of chronic …

[HTML][HTML] Machine learning to predict end stage kidney disease in chronic kidney disease

Q Bai, C Su, W Tang, Y Li - Scientific reports, 2022 - nature.com
The purpose of this study was to assess the feasibility of machine learning (ML) in predicting
the risk of end-stage kidney disease (ESKD) from patients with chronic kidney disease …

[HTML][HTML] Prediction and diagnosis of chronic kidney disease development and progression using machine-learning: Protocol for a systematic review and meta-analysis …

F Chen, P Kantagowit, T Nopsopon, A Chuklin… - Plos one, 2023 - journals.plos.org
Chronic Kidney disease (CKD) is an important yet under-recognized contributor to morbidity
and mortality globally. Machine-learning (ML) based decision support tools have been …

[PDF][PDF] Unlocking Precision Medicine for Prognosis of Chronic Kidney Disease Using Machine Learning. Diagnostics 2023, 13, 3151

Y Dubey, P Mange, Y Barapatre, B Sable, P Palsodkar… - 2023 - academia.edu
Chronic kidney disease (CKD) is a significant global health challenge that requires timely
detection and accurate prognosis for effective treatment and management. The application …

[HTML][HTML] Unlocking Precision Medicine for Prognosis of Chronic Kidney Disease Using Machine Learning

Y Dubey, P Mange, Y Barapatre, B Sable, P Palsodkar… - Diagnostics, 2023 - mdpi.com
Chronic kidney disease (CKD) is a significant global health challenge that requires timely
detection and accurate prognosis for effective treatment and management. The application …

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 …