Football Player Injury Full-Cycle Management and Monitoring System Based on Blockchain and Machine Learning Algorithm

作     者：Pu, Chunwang Zhou, Jun Sun, Jian Zhang, Jianpeng 

作者机构：Yuxi Normal Univ Sch Phys Educ Yuxi 653100 Peoples R China Coll Art & Sci Kunming Sch Phys Educ Kunming 650201 Peoples R China Yunnan Agr Univ Sch Phys Educ Kunming 650201 Peoples R China 

出 版 物：《INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS》 (国际计算智能系统杂志)

年 卷 期：2023年第16卷第1期

页      面：41-41页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Key Lab of Sports and Rehabilitation 

主　　题：Full-cycle management and supervision system Football player injury Machine learning algorithm Blockchain technology Support vector machine 

摘      要：Football injuries are the most common factor affecting a football player s performance, and the last thing a football player wants. To understand the causes of football players injuries and how to recover sports injuries most efficiently, the football players injuries were managed and monitored throughout the whole cycle. However, the traditional football player injury cycle management and monitoring system are not only insecure in data storage, but more importantly, it lacks intelligent analysis of the collected data. With the continuous development of blockchain and machine learning technologies, blockchain technology is used to collect, store, clean, mine and visualize the full-cycle data of football players injuries, and machine learning is used to provide intelligent solutions for football players injury recovery. This paper compared the football player s injury full-cycle management and monitoring system based on blockchain and machine learning algorithm with the traditional football player s injury management and monitoring system. The experimental results showed that the average self-processing capacity of the football player injury MMS based on blockchain and ML algorithm was 70%, while the average self-processing capacity of the traditional football player injury management and monitoring system was 50%. Therefore, the application of blockchain and machine learning algorithm in the football player s injury full-cycle management and monitoring system can effectively improve the system s self-processing ability.