A new distal radius fracture classification depending on the specific fragments through machine learning clustering method

A new distal radius fracture classification depending on the specific fragments through machine learning clustering method

Abstract Purposes The objective of this study was to investigate intra-articular distal radius fractures, aiming to provide a comprehensive analysis of fracture patterns and discuss the corresponding treatment strategies for each pattern. Methods 294 cases of intra-articular distal radius fractures...

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Bibliographic Details
Main Authors: Yuling Gao, Yanrui Zhao, Yang Liu, Shan Lei, Hanzhou Wang, Yuerong Lizhu, Tianchao Lu, Zhexian Cheng, Dong Wang, Binzhi Zhao, Ziyi Li, Junlin Zhou
Format: Article
Language:English
Published: BMC 2024-12-01
Series:BMC Musculoskeletal Disorders
Subjects:
Distal radius fractures
Articular
Specific fragment
Machine learning
Classification
Plate fixation
Online Access:https://doi.org/10.1186/s12891-024-08215-1
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https://doi.org/10.1186/s12891-024-08215-1

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