Machine learning approaches for predicting and diagnosing chronic kidney disease: current trends, challenges, solutions, and future directions
P Gogoi, JA Valan - International Urology and Nephrology, 2024 - Springer
Abstract Chronic Kidney Disease (CKD) represents a significant global health challenge,
contributing to increased morbidity and mortality rates. This review paper explores the …
contributing to increased morbidity and mortality rates. This review paper explores the …
[HTML][HTML] Acute Kidney Injury Prognosis Prediction Using Machine Learning Methods: A Systematic Review
Y Lin, T Shi, G Kong - Kidney Medicine, 2024 - Elsevier
Rationale & Objective Accurate estimation of in-hospital outcomes for patients with acute
kidney injury (AKI) is crucial for aiding physicians in making optimal clinical decisions. We …
kidney injury (AKI) is crucial for aiding physicians in making optimal clinical decisions. We …
Interpretable machine learning for predicting chronic kidney disease progression risk
JX Zheng, X Li, J Zhu, SY Guan, SX Zhang… - Digital …, 2024 - journals.sagepub.com
Objective Chronic kidney disease (CKD) poses a major global health burden. Early CKD risk
prediction enables timely interventions, but conventional models have limited accuracy …
prediction enables timely interventions, but conventional models have limited accuracy …
New approaches to acute kidney injury
S Noel, R Kapoor, H Rabb - Clinical Kidney Journal, 2024 - academic.oup.com
Acute kidney injury (AKI) is a common and serious clinical syndrome that involves complex
interplay between different cellular, molecular, metabolic and immunologic mechanisms …
interplay between different cellular, molecular, metabolic and immunologic mechanisms …
Predictive approach for liberation from acute dialysis in ICU patients using interpretable machine learning
TJ Wang, CT Huang, CL Wu, CH Chen, MS Wang… - Scientific Reports, 2024 - nature.com
Renal recovery following dialysis-requiring acute kidney injury (AKI-D) is a vital clinical
outcome in critical care, yet it remains an understudied area. This retrospective cohort study …
outcome in critical care, yet it remains an understudied area. This retrospective cohort study …
Evaluation of risk stratification for acute kidney injury: A comparative analysis of EKFC, 2009 and 2021 CKD-EPI glomerular filtration estimating equations
JM Cho, JH Koh, M Kim, S Jung, S Cho, S Lee… - Journal of …, 2024 - Springer
Background The adoption of the 2021 CKD-EPIcr equation for glomerular filtration rate
(GFR) estimation provided a race-free eGFR calculation. However, the discriminative …
(GFR) estimation provided a race-free eGFR calculation. However, the discriminative …
[HTML][HTML] Acute Kidney Injury Classifications in the Prediction of In-hospital Mortality and Renal Function Non-recovery
A Hamzic-Mehmedbasic, M Mackic, D Rebic… - Materia Socio …, 2023 - ncbi.nlm.nih.gov
Background: In the last two decades diagnostic criteria for acute kidney injury (AKI) were
developed: Risk, Injury, Failure, Loss of Kidney Function, End-Stage Kidney Disease …
developed: Risk, Injury, Failure, Loss of Kidney Function, End-Stage Kidney Disease …
Pemodelan Prediktif Menggunakan Metode Ensemble Learning XGBoost dalam Peningkatan Akurasi Klasifikasi Penyakit Ginjal
R Soelistijadi, TD Wismarini… - Kesatria: Jurnal …, 2024 - pkm.tunasbangsa.ac.id
Abstrak Penyakit Ginjal Kronis (PGK) merupakan masalah kesehatan global yang serius.
Namun informasi tentang berapa banyak orang yang terkena PGK di beberapa negara tidak …
Namun informasi tentang berapa banyak orang yang terkena PGK di beberapa negara tidak …
[PDF][PDF] Rok 2023 v přehledu–Nefrologie kritických stavů
J Chvojka, M Matějovič - Anesteziologie a intenzivní medicína, 2023 - aimjournal.cz
1Jednotka intenzivní péče, I. interní klinika, Lékařská fakulta v Plzni, Univerzita Karlova
2Jednotka intenzivní péče, I. interní klinika, Fakultní nemocnice v Plzni 3Biomedicínské …
2Jednotka intenzivní péče, I. interní klinika, Fakultní nemocnice v Plzni 3Biomedicínské …