Research Progress on the Risk Prediction Model for Functional Disorders of Autologous Arteriovenous Fistula in Patients on Maintenance Hemodialysis
Abstract：This study systematically reviews the current research status of clinical prediction models (CPMs) related to functional disorders of autologous arteriovenous fistula (AVF) in patients on maintenance hemodialysis. It focuses on the application progress of traditional statistical models, machine learning algorithms, and deep learning techniques, discusses the limitations of existing models, and explores future research directions, aiming to provide theoretical support for building accurate and practical predictive tools.
Keywords：maintenance hemodialysisarteriovenous fistuladysfunctionclinical predictive modelingreview
Publication Date：2025-12-15
Online Publishing Date：2025-12-22(First online date of this platform, not the publication date of the document)
Pages：5( 4447-4451 )