The Analysis of Sports Injury Risk Assessment System Based on Big Data

In modern society, the popularization of sports and sports activities has led to the undeniable problem of sports injuries, posing significant challenges to individual health and socio-economic development. Therefore, the development of a system capable of predicting and preventing sports injuries has become particularly crucial. This system encompasses multiple stages, including data collection and preprocessing, feature engineering, algorithm modeling, generation of user suggestions, and implementation of intervention measures. By following these steps, the system can produce personalized injury risk assessments for each athlete and offer targeted recommendations to enable them to engage in sports activities more safely. Experimental results demonstrate that the system exhibits excellent performance in various aspects, including accuracy, recall, and precision. Furthermore, the system possesses good generalization ability, allowing it to adapt to different sports environments and individual differences.