{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T10:16:44Z","timestamp":1776334604619,"version":"3.51.2"},"reference-count":28,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2023,3,23]],"date-time":"2023-03-23T00:00:00Z","timestamp":1679529600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2023,3,23]],"date-time":"2023-03-23T00:00:00Z","timestamp":1679529600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J Comput Intell Syst"],"abstract":"<jats:title>Abstract<\/jats:title><jats:p>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\u2019 injuries and how to recover sports injuries most efficiently, the football players\u2019 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\u2019s injury full-cycle management and monitoring system can effectively improve the system\u2019s self-processing ability.<\/jats:p>","DOI":"10.1007\/s44196-023-00217-6","type":"journal-article","created":{"date-parts":[[2023,3,23]],"date-time":"2023-03-23T16:02:49Z","timestamp":1679587369000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Football Player Injury Full-Cycle Management and Monitoring System Based on Blockchain and Machine Learning Algorithm"],"prefix":"10.1007","volume":"16","author":[{"given":"Chunwang","family":"Pu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jian","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianpeng","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,3,23]]},"reference":[{"issue":"1","key":"217_CR1","first-page":"43","volume":"18","author":"Z Lv","year":"2022","unstructured":"Lv, Z., Yu, Z., Xie, S., Alamri, A.: deep learning-based smart predictive evaluation for interactive multimedia-enabled smart healthcare. ACM Trans. Multimed. Comput. Commun. Appl. (TOMM) 18(1), 43 (2022)","journal-title":"ACM Trans. Multimed. Comput. Commun. Appl. (TOMM)"},{"issue":"007","key":"217_CR2","first-page":"53","volume":"057","author":"G Hao","year":"2021","unstructured":"Hao, G., Ruirui, L., Guangyu, W., Meizhen, Z., Hui, L.: The influence of special fatigue of football players on the kinematics characteristics of their high-risk ACL injuries. China Sports Technol. 057(007), 53\u201361 (2021)","journal-title":"China Sports Technol."},{"key":"217_CR3","unstructured":"Sun, Z., Feng, R. Research on the prevention strategy of injury in high school football training. Slam dunk 000(021):27\u201328 (2021)"},{"issue":"4","key":"217_CR4","doi-asserted-by":"publisher","first-page":"689","DOI":"10.1007\/s40279-019-01232-4","volume":"50","author":"JC Tee","year":"2020","unstructured":"Tee, J.C., McLaren, S.J., Jones, B.: Sports injury prevention is complex: we need to invest in better processes, not singular solutions. Sports Med. 50(4), 689\u2013702 (2020)","journal-title":"Sports Med."},{"issue":"8","key":"217_CR5","doi-asserted-by":"publisher","first-page":"738","DOI":"10.4085\/1062-6050-144-17","volume":"53","author":"ZY Kerr","year":"2018","unstructured":"Kerr, Z.Y.: The first decade of web-based sports injury surveillance: descriptive epidemiology of injuries in United States high school football (2005\u20132006 through 2013\u20132014) and National Collegiate Athletic Association football (2004\u20132005 through 2013\u20132014). J. Athl. Train. 53(8), 738\u2013751 (2018)","journal-title":"J. Athl. Train."},{"issue":"51","key":"217_CR6","first-page":"170","volume":"5","author":"YQ Zhang","year":"2018","unstructured":"Zhang, Y.Q., Ai, J.: The role of physical fitness coaches in sports injury prevention. Modern. Educ. 5(51), 170\u2013171 (2018)","journal-title":"Modern. Educ."},{"key":"217_CR7","unstructured":"Wang T. Sports injuries and preventive measures in sports training. Youth (016):231\u2013232 (2019)"},{"key":"217_CR8","doi-asserted-by":"publisher","DOI":"10.1007\/s40747-022-00910-7","author":"T Jie","year":"2022","unstructured":"Jie, T., Mingdong, H., Hongli, B., Junqing, Li.: Variable surrogate model-based particle swarm optimization for high-dimensional expensive problems. Complex Intell. Syst. (2022). https:\/\/doi.org\/10.1007\/s40747-022-00910-7","journal-title":"Complex Intell. Syst."},{"issue":"4","key":"217_CR9","first-page":"597","volume":"19","author":"M Fanqi","year":"2022","unstructured":"Fanqi, M., Xixi, X., Jingdong, W.: Rating the crisis of online public opinion using a multi-level index system. Int. Arab J. Inform. Technol. 19(4), 597\u2013608 (2022)","journal-title":"Int. Arab J. Inform. Technol."},{"key":"217_CR10","doi-asserted-by":"publisher","DOI":"10.1108\/ECAM-07-2021-0668","author":"H Yanhu","year":"2022","unstructured":"Yanhu, H., Xiyu, Y., Poorang, P.: An overall review of research on prefabricated construction supply chain management. Eng. Constr. Archit. Manag. (2022). https:\/\/doi.org\/10.1108\/ECAM-07-2021-0668","journal-title":"Eng. Constr. Archit. Manag."},{"issue":"1","key":"217_CR11","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s40634-021-00346-x","volume":"8","author":"H Van Eetvelde","year":"2021","unstructured":"Van Eetvelde, H.: Machine learning methods in sport injury prediction and prevention: a systematic review. J. Exp. Orthop. 8(1), 1\u201315 (2021)","journal-title":"J. Exp. Orthop."},{"issue":"5","key":"217_CR12","doi-asserted-by":"publisher","first-page":"529","DOI":"10.4103\/ortho.IJOrtho_226_17","volume":"51","author":"H Dhillon","year":"2017","unstructured":"Dhillon, H., Dhilllon, S., Dhillon, M.S.: Current concepts in sports injury rehabilitation. Indian J Orthop. 51(5), 529\u2013536 (2017)","journal-title":"Indian J Orthop."},{"issue":"04","key":"217_CR13","first-page":"71","volume":"38","author":"L Tong","year":"2019","unstructured":"Tong, L., Xue, C.: Sports injury and prevention strategies in campus football. Sports Boutique 38(04), 71\u201373 (2019)","journal-title":"Sports Boutique"},{"issue":"6","key":"217_CR14","doi-asserted-by":"publisher","first-page":"283","DOI":"10.3928\/19425864-20201016-01","volume":"12","author":"A Gokeler","year":"2020","unstructured":"Gokeler, A., McKeon, P.O., Hoch, M.C.: Shaping the functional task environment in sports injury rehabilitation: a framework to integrate perceptual-cognitive training in rehabilitation. Athl. Train. Sports Health Care 12(6), 283\u2013292 (2020)","journal-title":"Athl. Train. Sports Health Care"},{"key":"217_CR15","unstructured":"Pei, C.: Investigation and evaluation of the prevention effect of common sports injuries in college football. Must-Read Health (010):283\u2013284 (2018)"},{"issue":"034","key":"217_CR16","first-page":"280","volume":"005","author":"Du Haoyuan","year":"2018","unstructured":"Haoyuan, Du.: Investigation and research on knee joint injuries of high school men\u2019s football players in Mianyang City. Diet Health Care 005(034), 280\u2013281 (2018)","journal-title":"Diet Health Care"},{"key":"217_CR17","doi-asserted-by":"publisher","first-page":"123764","DOI":"10.1109\/ACCESS.2021.3108178","volume":"9","author":"Y Li","year":"2021","unstructured":"Li, Y., Yin-He, S., Yang, Q., Zhi-Yu, S., Chun-Zi, W., Zi-Yun, L.: Method of reaching consensus on probability of food safety based on the integration of finite credible data on block chain. IEEE Access 9, 123764\u2013123776 (2021)","journal-title":"IEEE Access"},{"issue":"3","key":"217_CR18","first-page":"1187","volume":"9","author":"Ni Qiufen","year":"2021","unstructured":"Qiufen, Ni., Guo Jianxiong, Wu., Weili, W.H., Jigang, Wu.: Continuous influence-based community partition for social networks. IEEE Trans. Netw. Sci. Eng. 9(3), 1187\u20131197 (2021)","journal-title":"IEEE Trans. Netw. Sci. Eng."},{"issue":"4","key":"217_CR19","doi-asserted-by":"publisher","first-page":"244","DOI":"10.1136\/injuryprev-2017-042639","volume":"25","author":"A Donaldson","year":"2019","unstructured":"Donaldson, A.: A concept mapping approach to identifying the barriers to implementing an evidence-based sports injury prevention programme. Inj. Prev. 25(4), 244\u2013251 (2019)","journal-title":"Inj. Prev."},{"issue":"032","key":"217_CR20","first-page":"29","volume":"011","author":"Lu Jin","year":"2021","unstructured":"Jin, Lu.: Investigation of ankle injuries in football fans\u2019 sports\u2013taking the eastern region of Jinan as an example. Contemp. Sports Technol. 011(032), 29\u201332 (2021)","journal-title":"Contemp. Sports Technol."},{"key":"217_CR21","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1016\/j.egyr.2022.10.358","volume":"9","author":"E Adiguzel","year":"2023","unstructured":"Adiguzel, E., Subasi, N., Mumcu, T.V., Ersoy, A.: The effect of the marble dust to the efficiency of photovoltaic panels efficiency by SVM. Energy Rep. 9, 66\u201376 (2023)","journal-title":"Energy Rep."},{"issue":"1","key":"217_CR22","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1136\/bjsports-2018-100000","volume":"53","author":"RO Nielsen","year":"2019","unstructured":"Nielsen, R.O.: Time-to-event analysis for sports injury research part 2: time-varying outcomes. Br. J. Sports Med. 53(1), 70\u201378 (2019)","journal-title":"Br. J. Sports Med."},{"key":"217_CR23","doi-asserted-by":"publisher","DOI":"10.3969\/j.issn.1006-8902.2021.09.047","author":"Y Wangm","year":"2021","unstructured":"Wangm Y.: Research on the characteristics and preventive countermeasures of sports injuries in competitive aerobics. Station. Technol. (2021). https:\/\/doi.org\/10.3969\/j.issn.1006-8902.2021.09.047","journal-title":"Station. Technol."},{"issue":"3","key":"217_CR24","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1136\/bjsports-2016-096648","volume":"51","author":"CR LaBella","year":"2017","unstructured":"LaBella, C.R., Myer, G.D.: Youth sports injury prevention: keep calm and play on. Br. J. Sports Med. 51(3), 145\u2013146 (2017)","journal-title":"Br. J. Sports Med."},{"issue":"4","key":"217_CR25","first-page":"537","volume":"37","author":"L Huang","year":"2022","unstructured":"Huang, L., Liu, H., Zhao, L., et al.: Evaluation and training of functional movement screening system for patellar tendonitis in adolescent fencers: Report of 1 case. Chin. J. Rehabil. Med. 37(4), 537\u2013539 (2022)","journal-title":"Chin. J. Rehabil. Med."},{"issue":"1","key":"217_CR26","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s40798-021-00405-8","volume":"8","author":"KK Yung","year":"2022","unstructured":"Yung, K.K.: Characteristics of complex systems in sports injury rehabilitation: examples and implications for practice. Sports Med.-Open 8(1), 1\u201315 (2022)","journal-title":"Sports Med.-Open"},{"key":"217_CR27","doi-asserted-by":"publisher","DOI":"10.3969\/j.issn.1009-9328.2018.23.307","author":"H Wu","year":"2018","unstructured":"Wu, H.: Research on sports injuries of table tennis players in amateur sports schools. Sports Time Space. (2018). https:\/\/doi.org\/10.3969\/j.issn.1009-9328.2018.23.307","journal-title":"Sports Time Space."},{"key":"217_CR28","doi-asserted-by":"publisher","first-page":"110750","DOI":"10.1016\/j.automatica.2022.110750","volume":"147","author":"Q Ma","year":"2023","unstructured":"Ma, Q., Xu, S.: Intentional delay can benefit consensus of second-order multi-agent systems. Automatica 147, 110750 (2023)","journal-title":"Automatica"}],"container-title":["International Journal of Computational Intelligence Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s44196-023-00217-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s44196-023-00217-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s44196-023-00217-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,3,23]],"date-time":"2023-03-23T16:23:51Z","timestamp":1679588631000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s44196-023-00217-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3,23]]},"references-count":28,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2023,12]]}},"alternative-id":["217"],"URL":"https:\/\/doi.org\/10.1007\/s44196-023-00217-6","relation":{},"ISSN":["1875-6883"],"issn-type":[{"value":"1875-6883","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,3,23]]},"assertion":[{"value":"23 November 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 March 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 March 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"We confirm that there is no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}},{"value":"This article does not contain any studies with human participants or animals performed by any of the authors.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical Approval"}},{"value":"Written informed consent for publication was obtained from all participants.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for Publication"}}],"article-number":"41"}}