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

Sports Injury Recovery Period Prediction Based on Injury Type and Diet Plan
Author(s):
Dr. Bhagyashri R Hanji, Deeksha K B, Devon Stephen Fernandes, Dhiraj Athreya H, Drushadwathi B Salian
Keywords:
Scoped Session, Cross-validation, One-Hot Encoding, Support Vector Regressor (SVR), Dynamic HTML Rendering, PostgreSQL.
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.
Article Details
Unique Paper ID: 162402 Publication Volume & Issue: Volume 10, Issue 10 Page(s): 251 - 256
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