Development of a machine learning model to predict lateral hinge fractures by analyzing patient factors before open wedge high tibial osteotomy
Author:
Funder
National Research Foundation of Korea
Publisher
Springer Science and Business Media LLC
Subject
Orthopedics and Sports Medicine,Surgery
Link
https://link.springer.com/content/pdf/10.1007/s00167-022-07137-6.pdf
Reference29 articles.
1. Choi HG, Kim JS, Jung YS, Yoo HJ, Lee YS (2021) Prediction and development of preventive strategies for lateral hinge fracture during opening wedge high tibial osteotomy based on osteotomy configurations. Am J Sports Med 49:2942–2954
2. Francois C (2017) Deep learning with Python. Manning Publications Company, New York
3. Groot OQ, Bindels BJJ, Ogink PT, Kapoor ND, Twining PK, Collins AK et al (2021) Availability and reporting quality of external validations of machine-learning prediction models with orthopedic surgical outcomes: a systematic review. Acta Orthop 92:385–393
4. Han S-B, Choi J-H, Mahajan A, Shin Y-S (2019) Incidence and predictors of lateral hinge fractures following medial opening-wedge high tibial osteotomy using locking plate system: better performance of computed Tomography scans. J Arthroplasty 34:846–851
5. Han SB, Lee DH, Shetty GM, Chae DJ, Song JG, Nha KW (2013) A “safe zone” in medial open-wedge high tibia osteotomy to prevent lateral cortex fracture. Knee Surg Sports Traumatol Arthrosc 21:90–95
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