DeepVAQ : an adaptive deep learning for prediction of vascular access quality in hemodialysis patients

DeepVAQ : an adaptive deep learning for prediction of vascular access quality in hemodialysis patients

Abstract Background Chronic kidney disease is a prevalent global health issue, particularly in advanced stages requiring dialysis. Vascular access (VA) quality is crucial for the well-being of hemodialysis (HD) patients, ensuring optimal blood transfer through a dialyzer machine. The ultrasound dilu...

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Bibliographic Details
Main Authors: Sarayut Julkaew, Thakerng Wongsirichot, Kasikrit Damkliang, Pornpen Sangthawan
Format: Article
Language:English
Published: BMC 2024-02-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Deep learning
Hemodialysis
Vascular access
Online Access:https://doi.org/10.1186/s12911-024-02441-2

Internet

https://doi.org/10.1186/s12911-024-02441-2

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