Poster 115. Predicting Return to Play After Achilles Tendon Injury in National Football League Players Using Machine Learning
- DOI
- 10.1177/2325967126s00419
- Published
- 8
- Container
- Orthopaedic Journal of Sports Medicine
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
uncertain Score 53/100 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:10.1177/2325967126s00419,
title = {Poster 115. Predicting Return to Play After Achilles Tendon Injury in National Football League Players Using Machine Learning},
author = {Zhongxuan Chen and Nicholas Wang and Zhiyu Lei and Grant Thomas and David Pedowitz and Joe Daniel and Selene G. Parekh},
year = {2026},
journal = {Orthopaedic Journal of Sports Medicine},
doi = {10.1177/2325967126s00419},
url = {https://doi.org/10.1177/2325967126s00419}
}RIS
TY - JOUR TI - Poster 115. Predicting Return to Play After Achilles Tendon Injury in National Football League Players Using Machine Learning AU - Zhongxuan Chen AU - Nicholas Wang AU - Zhiyu Lei AU - Grant Thomas AU - David Pedowitz AU - Joe Daniel AU - Selene G. Parekh PY - 2026 JO - Orthopaedic Journal of Sports Medicine DO - 10.1177/2325967126s00419 UR - https://doi.org/10.1177/2325967126s00419 ER -
APA
Chen, Z., Wang, N., Lei, Z., Thomas, G., Pedowitz, D., Daniel, J., & Parekh, S. G. (2026). Poster 115. Predicting Return to Play After Achilles Tendon Injury in National Football League Players Using Machine Learning. Orthopaedic Journal of Sports Medicine. https://doi.org/10.1177/2325967126s00419
Source records
- doaj · retrieved 2026-09-25T11:49:52.695Z