Machine Learning Predictions of Subjective Function, Symptoms, and Psychological Readiness at 12 Months After ACL Reconstruction Based on Physical Performance in the Early Rehabilitation Stage: Retrospective Cohort Study

Machine learning showed that younger age and greater 3-month isokinetic strength at 60 deg/s predicted attainment of the successful recovery of PASS of the IKDC at 1 year after ACL. Greater 3-month isokinetic strength at 180 deg/s was most predictive of attaining the successful recovery of PASS of the ACL-RSI at 12 months.

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Publication Details

Journal
Orthopaedic Journal of Sports Medicine
Published
2025-03-01
DOI
https://doi.org/10.1177/23259671251319512
Citations
8
Primary Topic
Knee injuries and reconstruction techniques
Type
article
Field-Weighted Citation Impact
16.05
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article

Machine Learning Predictions of Subjective Function, Symptoms, and Psychological Readiness at 12 Months After ACL Reconstruction Based on Physical Performance in the Early Rehabilitation Stage: Retrospective Cohort Study

Kyu Sung Chung, Ui‐jae Hwang, Jin Seong Kim
8 citations
Orthopaedic Journal of Sports Medicine
Knee injuries and reconstruction techniques
16.05
article

Machine Learning Predictions of Subjective Function, Symptoms, and Psychological Readiness at 12 Months After ACL Reconstruction Based on Physical Performance in the Early Rehabilitation Stage: Retrospective Cohort Study

Kyu Sung Chung, Ui‐jae Hwang, Jin Seong Kim
article en
8 citations

Abstract

Machine learning showed that younger age and greater 3-month isokinetic strength at 60 deg/s predicted attainment of the successful recovery of PASS of the IKDC at 1 year after ACL. Greater 3-month isokinetic strength at 180 deg/s was most predictive of attaining the successful recovery of PASS of the ACL-RSI at 12 months.

Orthopaedic Journal of Sports MedicineVol. 13(3)
Yonsei University (KR), Hanyang University Guri Hospital (KR), Hanyang University Seoul Hospital (KR)
Openalex Percentile: Top 1%
Knee injuries and reconstruction techniques
16.05
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