Early Warning of Basketball Injury Risk Based on Attribute Reduction Algorithm

Abstract

Basketball is one of the students’ favorite ball games, and it is also one of the most popular sports for college students to carry out after class. Especially in recent years, with the spread of NBA culture around the world and the extensive development of CUBA in domestic colleges and universities, Yao Ming has appeared in China to compete in the NBA and achieve brilliant achievements. With the increasing investment in the number of basketball venues, basketball itself, as a sport with low dependence on venues, equipment, and people, has the characteristics of economy, convenience, and remarkable sports effect compared with other sports. College students’ basketball skills, basketball awareness, and love for basketball are increasing day by day. Attribute reduction algorithm is one of the core contents of knowledge discovery, which describes whether every attribute in the attribute set of information system is necessary and how to delete unnecessary knowledge. Based on the attribute reduction algorithm, this paper studies the early warning of basketball injury risk. The basketball injury can not only make athletes unable to participate in training or competition, but even cripple or lose their lives, which hinders the normal development of sports. Therefore, we should make a comprehensive and objective analysis of sports training to find out the causes of sports injuries, so as to prevent sports injuries. This algorithm takes the attribute frequency as the heuristic information and solves the attribute selection problem when the attribute frequency is the same.

Segmental Bioimpedance Analysis as a Predictor of Injury and Performance Status in Professional Basketball Players: A New Application Potential?

“…More difficult to interpret, and probably in partial contrast, is what Wang and Baek found in the development of a reduction algorithm for early identification of the risk of injuries in basketball. The authors identified, among other factors, the difference between the circumferences of the left and right thighs, while in our study, no correlations emerged for the left lower limb, and the difference in the strength of the anterior and posterior thigh muscles, which cannot be evaluated with the method we used [27]. The lack of evidence for the left lower limb could also be re-evaluated in light of the lack of differences found by Adillón et al [26] in the stability found between dominant and non-dominant limbs, in accordance with what was previously observed in other studies [28,29].…”

“…The possible future development of these observations undoubtedly requires the acquisition of data from a much larger sample, which allows for an analysis divided on the basis of the roles and physical characteristics of the athletes, with the aim of understanding whether these parameters affect performance. Once this analysis has been carried out, an interesting subsequent development could be that of including the anthropometric parameters in algorithms aimed at predicting the risk of accidents [ 27 ] or in a subsequent evolutionary step represented by machine learning systems currently under development [ 35 , 36 ].…”

Injury Risk Prediction and Prevention Algorithm for Athletes Based on Data Mining

“…These strategies may encompass modifications to training regimes, ergonomic adjustments, improved equipment design, and educational interventions [3]. Additionally, real-time monitoring systems can provide immediate feedback to athletes or workers, allowing for adjustments to be made in situ to mitigate injury risks [4].Data mining is a powerful tool in the realm of information analysis, enabling organizations to extract valuable insights and patterns from large datasets. By employing various algorithms and techniques, data mining uncovers hidden relationships, trends, and anomalies that might otherwise remain undiscovered.…”

Retracted: Early Warning of Basketball Injury Risk Based on Attribute Reduction Algorithm

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [ 1 ]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process: Discrepancies in scope Discrepancies in the description of the research reported Discrepancies between the availability of data and the research described Inappropriate citations Incoherent, meaningless and/or irrelevant content included in the article Peer-review manipulation …”

“…Tis article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”