Image 1_Predicting the risk of postoperative avascular necrosis in patients with talar fractures based on an interpretable machine learning model.jpeg

Image 1_Predicting the risk of postoperative avascular necrosis in patients with talar fractures based on an interpretable machine learning model.jpeg

Purpose<p>This study aims to develop and validate an interpretable machine learning model for predicting avascular necrosis (AVN) following talar fracture, thereby aiding in personalized prevention and treatment.</p>Methods<p>A retrospective cohort study included patients undergoin...

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Bibliographic Details
Main Author: Jian Zhang (1682) (author)
Other Authors: Jihai Xu (21838697) (author), Jiapei Yu (12278857) (author), Hong Chen (108084) (author), Xin Hong (95011) (author), Songou Zhang (17753553) (author), Xin Wang (91924) (author), Chengchun Shen (15317701) (author)
Published: 2025
Subjects:
Biotechnology
machine learning
risk factors
prediction model
avascular necrosis
talar fractures
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