Machine Learning Does Not Improve Humeral Torsion Prediction Compared to Regression in Baseball Pitchers
# Background Humeral torsion is an important osseous adaptation in throwing athletes that can contribute to arm injuries. Currently there are no cheap and easy to use clinical tools to measure humeral torsion, inhibiting clinical assessment. Models with low error and "good" calibration sl...
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Main Authors: | Garrett S Bullock, Charles A Thigpen, Gary S Collins, Nigel K Arden, Thomas K Noonan, Michael J Kissenberth, Ellen Shanley |
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Format: | Article |
Language: | English |
Published: |
North American Sports Medicine Institute
2022-04-01
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Series: | International Journal of Sports Physical Therapy |
Online Access: | https://doi.org/10.26603/001c.32380 |
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