Risk Prediction Model for Chronic Kidney Disease in Thailand Using Artificial Intelligence and SHAP

MC Tsai, B Lojanapiwat, CC Chang, K Noppakun… - Diagnostics, 2023 - mdpi.com
Chronic kidney disease (CKD) is a multifactorial, complex condition that requires proper
management to slow its progression. In Thailand, 11.6 million people (17.5%) have CKD …

[PDF][PDF] Prediction of chronic kidney disease with Machine Learning models and feature analysis using SHAP

Y Surekha, KR Kodepogu, GL Kumari… - Revue d'Intelligence …, 2023 - researchgate.net
Accepted: 5 April 2023 The world is significantly impacted by chronic kidney disease (CKD),
both in terms of the health and financial costs. CKD is becoming a bigger issue globally …

Investigation on explainable machine learning models to predict chronic kidney diseases

SK Ghosh, AH Khandoker - Scientific Reports, 2024 - nature.com
Chronic kidney disease (CKD) is a major worldwide health problem, affecting a large
proportion of the world's population and leading to higher morbidity and death rates. The …

Computational intelligence approaches for prediction of chronic kidney disease

MR Ahmed, MA Ali, N Ahmed, T Bhuiyan - Advances in Distributed …, 2022 - Springer
Over the past few decades, it has been observed that there is a growing interest in the area
of intelligence systems, such as Machine Learning. Machine learning has been extensively …

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 …

Unveiling the predictive power: a comprehensive study of machine learning model for anticipating chronic kidney disease

N Khan, MA Raza, NH Mirjat, N Balouch… - Frontiers in Artificial …, 2024 - frontiersin.org
In today's modern era, chronic kidney disease stands as a significantly grave ailment that
detrimentally impacts human life. This issue is progressively escalating in both developed …

[HTML][HTML] ML-CKDP: Machine learning-based chronic kidney disease prediction with smart web application

RK Halder, MN Uddin, MA Uddin, S Aryal… - Journal of Pathology …, 2024 - Elsevier
Chronic kidney diseases (CKDs) are a significant public health issue with potential for
severe complications such as hypertension, anemia, and renal failure. Timely diagnosis is …

Risk factor prediction of chronic kidney disease based on machine learning algorithms

MA Islam, S Akter, MS Hossen, SA Keya… - 2020 3rd …, 2020 - ieeexplore.ieee.org
Chronic kidney disease (CKD) is an increasing medical issue that declines the productivity
of renal capacities and subsequently damages the kidneys. CKD is very common nowadays; …

Predicting and staging chronic kidney disease using optimized random forest algorithm

S Samet, MR Laouar, I Bendib - 2021 International Conference …, 2021 - ieeexplore.ieee.org
The silent killer Chronic Kidney Disease (CKD) in wealthy countries and listed with the
leading causes of death in impoverished countries. Because of its rising incidence, CKD is …

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 …