A machine learning model for predicting postoperative complication risk in young and middle-aged patients with femoral neck fractures

A machine learning model for predicting postoperative complication risk in young and middle-aged patients with femoral neck fractures

ObjectiveFemoral neck fractures are the most common type of hip fracture, and the postoperative complications associated with these fractures significantly affect patients’ quality of life and healthcare costs. The objective of this study was to develop a predictive model using machine learning (ML)...

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Bibliographic Details
Main Authors: Yixin Huang, Dongze Lin, Bin Chen, Xiaole Jiang, Shanglin Shangguan, Fengfei Lin
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-08-01
Series:Frontiers in Surgery
Subjects:
femoral neck fracture
internal fixation failure
risk factors
machine learning
prediction model
Online Access:https://www.frontiersin.org/articles/10.3389/fsurg.2025.1591671/full
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https://www.frontiersin.org/articles/10.3389/fsurg.2025.1591671/full

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