Are Baseball Statistics an Appropriate Tool for Assessing Return to Play in Injured Players: An Analysis of Statistically Variability in Healthy Players Using a Machine Learning Approach
- DOI
- 10.1177/2325967119s00397
- Published
- 2019-07-01
- Container
- Orthopaedic Journal of Sports Medicine
- Publisher
- SAGE Publications
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1177/2325967119s00397,
title = {Are Baseball Statistics an Appropriate Tool for Assessing Return to Play in Injured Players: An Analysis of Statistically Variability in Healthy Players Using a Machine Learning Approach},
author = {Ayoosh Pareek and Chad W. Parkes and Alexey A. Leontovich and Christopher D. Bernard and Aaron John Krych and Diane L. Dahm and Christopher L. Camp},
year = {2019},
journal = {Orthopaedic Journal of Sports Medicine},
doi = {10.1177/2325967119s00397},
url = {https://doi.org/10.1177/2325967119s00397}
}RIS
TY - JOUR TI - Are Baseball Statistics an Appropriate Tool for Assessing Return to Play in Injured Players: An Analysis of Statistically Variability in Healthy Players Using a Machine Learning Approach AU - Ayoosh Pareek AU - Chad W. Parkes AU - Alexey A. Leontovich AU - Christopher D. Bernard AU - Aaron John Krych AU - Diane L. Dahm AU - Christopher L. Camp PY - 2019 JO - Orthopaedic Journal of Sports Medicine DO - 10.1177/2325967119s00397 UR - https://doi.org/10.1177/2325967119s00397 ER -
APA
Pareek, A., Parkes, C. W., Leontovich, A. A., Bernard, C. D., Krych, A. J., Dahm, D. L., & Camp, C. L. (2019). Are Baseball Statistics an Appropriate Tool for Assessing Return to Play in Injured Players: An Analysis of Statistically Variability in Healthy Players Using a Machine Learning Approach. Orthopaedic Journal of Sports Medicine. https://doi.org/10.1177/2325967119s00397
Source records
- crossref · retrieved 2026-11-09T03:11:40.777Z