Application of an athlete injury risk assessment model based on regression analysis method in sports rehabilitation

In recent years, the importance of athletes' injury risk assessment has been increasing in the field of sports training.Through questionnaire survey, expert interviews and mathematical statistics, the risk factors of athletes' sports injuries and illnesses were studied, and the assessment index system was established.Combined with logistic regression analysis, the risk factors were evaluated in four dimensions: athlete's own risk, organizational management risk, equipment and facilities risk, and environmental risk factors, in order to provide references for athletes' sports rehabilitation and training programs.In addition to environmental risk factors, athlete's own risk, organizational management risk, and facility risk were significantly positively correlated with athletes' injuries and illnesses, and athlete's own risk was the main causative factor for the occurrence of injuries and illnesses.The average precision, recall, F2 score and AUC of the logistic regression model were 0.852, 0.9714, 0.9174 and 0.9547, respectively.Compared with other models, the model in this paper improved by 18.56%, 7.63%, 8.24% and 2.96%, respectively, and demonstrated a good precision of assessment.