Understanding Anterior Shoulder Instability Through Machine Learning: New Models That Predict Recurrence, Progression to Surgery, and Development of Arthritis.
- DOI
- 10.1177/23259671211053326
- Published
- 2021 Nov
- Container
- Orthopaedic journal of sports medicine
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1177/23259671211053326,
title = {Understanding Anterior Shoulder Instability Through Machine Learning: New Models That Predict Recurrence, Progression to Surgery, and Development of Arthritis.},
author = {Lu Y and Pareek A and Wilbur RR and Leland DP and Krych AJ and Camp CL},
year = {2021},
journal = {Orthopaedic journal of sports medicine},
doi = {10.1177/23259671211053326},
url = {https://doi.org/10.1177/23259671211053326}
}RIS
TY - JOUR TI - Understanding Anterior Shoulder Instability Through Machine Learning: New Models That Predict Recurrence, Progression to Surgery, and Development of Arthritis. AU - Lu Y AU - Pareek A AU - Wilbur RR AU - Leland DP AU - Krych AJ AU - Camp CL PY - 2021 JO - Orthopaedic journal of sports medicine DO - 10.1177/23259671211053326 UR - https://doi.org/10.1177/23259671211053326 ER -
APA
Y, L., A, P., RR, W., DP, L., AJ, K., & CL, C. (2021). Understanding Anterior Shoulder Instability Through Machine Learning: New Models That Predict Recurrence, Progression to Surgery, and Development of Arthritis.. Orthopaedic journal of sports medicine. https://doi.org/10.1177/23259671211053326
Source records
- pubmed · retrieved 2026-09-26T16:43:27.786Z