(PENDING) Dynamic Threshold Modeling for Inter-Limb Symmetry-Based Injury Risk Prediction
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Abstract
This study introduces a novel machine learning approach for predicting injury risk in collegiate athletes based on dynamic threshold modeling of inter-limb symmetry measurements.
Publication Information
Status: In preparation for submission (2025-2026)
Target Journal: To Be Determined
Overview
The research presents an innovative machine learning methodology for injury risk prediction in collegiate athletes, utilizing dynamic threshold modeling to analyze inter-limb symmetry patterns and identify potential injury risks.
Citation
Williams, H. et al. (submission 2025-2026). Dynamic Threshold Modeling for Inter-Limb Symmetry-Based Injury Risk Prediction in U.S. Collegiate Athletes: A Novel Machine Learning Approach. Journal TBD.