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Research on Sports Injury Prediction Model for College Badminton Specialized Students

Author

Listed:
  • Hongbing Xie

    (Xinjiang Second Medical College, China)

  • Shanwei Zhao

    (Xinjiang Second Medical College, China)

  • Heshuang Ye

    (Chizhou University, China)

Abstract

Aiming at the realistic pain points of “high-intensity training, younger injury risk, and digital management” in badminton in colleges and universities, this study constructs a sports injury prediction and intervention model constructed on real-time load data. Based on a 12-week prospective queue, wearable devices are used to collect sports load data, the light gradient boosting machine-attention model is used to achieve high-precision prediction (area under curve = 0.95), and a double-cycle mechanism of “double threshold adjustment + weekly calibration” is designed for dynamic intervention. The practice shows that the system can reduce the overall damage rate by 32%, and the high-risk damage rate from 29.4% to 17.1%. The research provides a replicable and extensible data-driven early warning scheme for campus sports.

Suggested Citation

  • Hongbing Xie & Shanwei Zhao & Heshuang Ye, 2026. "Research on Sports Injury Prediction Model for College Badminton Specialized Students," International Journal of Healthcare Information Systems and Informatics (IJHISI), IGI Global Scientific Publishing, vol. 21(1), pages 1-19, January.
    • Handle: RePEc:igg:jhisi0:v:21:y:2026:i:1:p:1-19
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