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A machine-learning method for predicting the 1-year risk of death in maintenance hemodialysis patients based on continuous compliance with dialysis quality indicators
0
Zitationen
6
Autoren
2025
Jahr
Abstract
The indicators time-to-standard ratio and fluctuation value may serve as potential methods for the continuous reaching of dialysis quality. Preliminary evidence suggests that machine learning model based on the indicator time-to-standard ratio of dialysis quality could have a reasonably good predictive effect on the prognosis of HD patients.
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