Machine learning models predicting risk of revision or secondary knee injury after anterior cruciate ligament reconstruction demonstrate variable discriminatory and accuracy performance: a systematic review
Abstract Background To summarize the statistical performance of machine learning in predicting revision, secondary knee injury, or reoperations following anterior cruciate ligament reconstruction (ACLR), and to provide a general overview of the statistical performance of these models. Methods Three...
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Main Authors: | Benjamin Blackman, Prushoth Vivekanantha, Rafay Mughal, Ayoosh Pareek, Anthony Bozzo, Kristian Samuelsson, Darren de SA |
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Format: | Article |
Language: | English |
Published: |
BMC
2025-01-01
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Series: | BMC Musculoskeletal Disorders |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12891-024-08228-w |
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