{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,24]],"date-time":"2026-10-24T00:19:20Z","timestamp":1792801160747,"version":"4.5.0"},"reference-count":32,"publisher":"Georg Thieme Verlag KG","issue":"02","funder":[{"name":"Finnish Ministry of Education and Culture, and Competitive State Research Financing of the Expert Responsibility area of Tampere University Hospital","award":["grant 9S047"],"award-info":[{"award-number":["grant 9S047"]}]},{"name":"Finnish Ministry of Education and Culture, and Competitive State Research Financing of the Expert Responsibility area of Tampere University Hospital","award":["grant 9T046"],"award-info":[{"award-number":["grant 9T046"]}]},{"name":"Finnish Ministry of Education and Culture, and Competitive State Research Financing of the Expert Responsibility area of Tampere University Hospital","award":["grant 9U044"],"award-info":[{"award-number":["grant 9U044"]}]},{"name":"Finnish Ministry of Education and Culture, and Competitive State Research Financing of the Expert Responsibility area of Tampere University Hospital","award":["grant 9N053"],"award-info":[{"award-number":["grant 9N053"]}]},{"name":"Susanne Jauhiainen was funded by the Jenny and Antti Wihuri Foundation","award":["grant 00180121"],"award-info":[{"award-number":["grant 00180121"]}]},{"name":"Academy of Finland Postdoctoral Researcher program","award":["grant 286019"],"award-info":[{"award-number":["grant 286019"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int J Sports Med"],"published-print":{"date-parts":[[2021,2]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>The purpose of this article is to present how predictive machine learning methods can be utilized for detecting sport injury risk factors in a data-driven manner. The approach can be used for finding new hypotheses for risk factors and confirming the predictive power of previously recognized ones. We used three-dimensional motion analysis and physical data from 314 young basketball and floorball players (48.4% males, 15.72\u00b11.79 yr, 173.34\u00b19.14\u2009cm, 64.65\u00b110.4\u2009kg). Both linear (L1-regularized logistic regression) and non-linear methods (random forest) were used to predict moderate and severe knee and ankle injuries (N=57) during three-year follow-up. Results were confirmed with permutation tests and predictive risk factors detected with Wilcoxon signed-rank-test (p&lt;0.01). Random forest suggested twelve consistent injury predictors and logistic regression twenty. Ten of these were suggested in both models; sex, body mass index, hamstring flexibility, knee joint laxity, medial knee displacement, height, ankle plantar flexion at initial contact, leg press one-repetition max, and knee valgus at initial contact. Cross-validated areas under receiver operating characteristic curve were 0.65 (logistic regression) and 0.63 (random forest). The results highlight the difficulty of predicting future injuries, but also show that even with models having relatively low predictive power, certain predictive injury risk factors can be consistently detected.<\/jats:p>","DOI":"10.1055\/a-1231-5304","type":"journal-article","created":{"date-parts":[[2020,9,13]],"date-time":"2020-09-13T22:31:01Z","timestamp":1600036261000},"page":"175-182","source":"Crossref","is-referenced-by-count":93,"title":["New Machine Learning Approach for Detection of Injury Risk Factors in Young Team Sport Athletes"],"prefix":"10.1055","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8553-8018","authenticated-orcid":false,"given":"Susanne","family":"Jauhiainen","sequence":"additional","affiliation":[{"name":"Faculty of Information Technology, University of Jyv\u00e4skyl\u00e4, Jyv\u00e4skyl\u00e4, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jukka-Pekka","family":"Kauppi","sequence":"additional","affiliation":[{"name":"Faculty of Information Technology, University of Jyv\u00e4skyl\u00e4, Jyv\u00e4skyl\u00e4, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mari","family":"Lepp\u00e4nen","sequence":"additional","affiliation":[{"name":"Tampere Research Centre of Sports Medicine, UKK Institute, Tampere, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kati","family":"Pasanen","sequence":"additional","affiliation":[{"name":"Tampere Research Centre of Sports Medicine, UKK Institute, Tampere, Finland"},{"name":"Sport Injury Prevention Research Centre, Faculty of Kinesiology, University of Calgary, Calgary, Alberta, Canada"},{"name":"Alberta Children\u2019s Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada"},{"name":"McCaig Institute for Bone and Joint Health, University of Calgary, Calgary, Alberta, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jari","family":"Parkkari","sequence":"additional","affiliation":[{"name":"Tampere Research Centre of Sports Medicine, UKK Institute, Tampere, Finland"},{"name":"Tampere University Hospital, Tampere, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tommi","family":"Vasankari","sequence":"additional","affiliation":[{"name":"Tampere Research Centre of Sports Medicine, UKK Institute, Tampere, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pekka","family":"Kannus","sequence":"additional","affiliation":[{"name":"Tampere Research Centre of Sports Medicine, UKK Institute, Tampere, Finland"},{"name":"Tampere University Hospital, Tampere, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sami","family":"\u00c4yr\u00e4m\u00f6","sequence":"additional","affiliation":[{"name":"Faculty of Information Technology, University of Jyv\u00e4skyl\u00e4, Jyv\u00e4skyl\u00e4, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"194","published-online":{"date-parts":[[2020,9,13]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1177\/0363546511425467","article-title":"Prevalence of musculoskeletal injuries in Swedish elite track and field athletes","volume":"40","author":"J Jacobsson","year":"2012","journal-title":"Am J Sports Med"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1097\/JSM.0b013e31802e9c05","article-title":"A prevention strategy to reduce the incidence of injury in high school basketball: a cluster randomized controlled trial","volume":"17","author":"C A Emery","year":"2007","journal-title":"Clin J Sport Med"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"981","DOI":"10.1177\/03635465030310063901","article-title":"Clinical, functional, and radiologic outcome in team handball players 6\u201311 years after 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