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.
Authors
- Kyu Sung Chung (ORCID: https://orcid.org/0000-0002-2378-0359)
- Ui‐jae Hwang (ORCID: https://orcid.org/0000-0002-2050-5503)
- Jin Seong Kim (ORCID: https://orcid.org/0000-0002-6960-3593)
Institutions
- Yonsei University (KR)
- Hanyang University Guri Hospital (KR)
- Hanyang University Seoul Hospital (KR)
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