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Sports Injury Recovery Period Prediction Based on Injury Type and Diet Plan

  • Unique Paper ID: 162402
  • Volume: 10
  • Issue: 10
  • PageNo: 251-256
  • Abstract:
  • Athletic injuries pose a significant challenge, hindering optimal performance and prolonging rehabilitation. To address this issue, we propose a comprehensive approach to predicting injury recovery duration for sports professionals using machine learning techniques. Our primary goal is to develop a predictive model that accurately forecasts recovery periods based on various factors, including injury type, severity, athlete demographics, medical history, and rehabilitation protocols. Utilizing a comprehensive dataset of historical injury records and performance metrics from a diverse range of athletes across various sports, the model aims to capture complex relationships and enhance prediction accuracy.
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  • ISSN: 2349-6002
  • Volume: 10
  • Issue: 10
  • PageNo: 251-256

Sports Injury Recovery Period Prediction Based on Injury Type and Diet Plan

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UGC Approved
Journal no 47859

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