Sep 3, 2022 · In this work, we present a machine learning model that dynamically identifies CKD patients at risk of requiring RRT up to one year in advance ...
Sep 30, 2022 · Our goal was to identify patients at risk of requiring renal replacement therapy, specifically (1) chronic dialysis, (2) kidney transplant, and ...
In this work, we present a machine learning model that dynamically identifies CKD patients at risk of requiring RRT up to one year in advance using only claims ...
Sep 3, 2022 · Machine learning for dynamically predicting the onset of renal replacement therapy in chronic kidney disease patients using claims data.
Jun 27, 2024 · We collected a dataset to develop a machine learning model to predict if a patient will survive after being placed on CRRT. This dataset ...
Dec 13, 2023 · Using machine learning models to predict the initiation of renal replacement therapy among chronic kidney disease patients. PLoS ONE 15 ...
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Mar 22, 2024 · Machine learning models for predicting the onset of chronic kidney disease after surgery in patients with renal cell carcinoma. Seol Whan Oh ...
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Oct 11, 2022 · This study assessed the feasibility of five separate machine learning (ML) classifiers for predicting disease progression in patients with ...
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This specification relates to applications, systems and methods that employ machine learning models to predict risk of patient outcomes, such as renal function ...
May 14, 2024 · The model proposed in this study could be a useful tool for policymakers in predicting the trends of CKD in the population. The models can allow ...