{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T23:38:25Z","timestamp":1761176305055,"version":"build-2065373602"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686318","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T00:00:00Z","timestamp":1761004800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,21]]},"abstract":"<jats:p>Anterior cruciate ligament (ACL) rupture remains a leading cause of long-term absence in football and is frequently triggered by sub-optimal mechanics during rapid change-of-direction (COD) manoeuvres. To transform laboratory motion analyses into actionable field feedback, a three-stage pipeline is presented. First, 45 kinematic and kinetic variables recorded from 1,009 youth footballers during COD tests are embedded with t-SNE and clustered by agglomerative clustering (Euclidean distance, Ward linkage), revealing four force-and-control phenotypes aligned with established ACL-risk mechanisms. Second, a Random-Forest classifier recreates these phenotypes from a set of 12 features selected for both importance and ease of capture, achieving a macro-averaged F1 = 0.85 (compared with 0.92 when all 45 variables are used). Third, the classifier is wrapped in a General Data Protection Regulation (GDPR) compliant application that accepts the 12 inputs, instantly assigns the athlete\u2019s phenotype, and displays tailored exercise cues. The pipeline demonstrates that laboratory-grade biomechanics can be condensed into a rapid, interpretable decision-support tool, enabling data-driven ACL injury mitigation in routine sports medicine practice.<\/jats:p>","DOI":"10.3233\/faia251434","type":"book-chapter","created":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T10:02:23Z","timestamp":1761127343000},"source":"Crossref","is-referenced-by-count":0,"title":["From Unsupervised Phenotyping to a Clinician-Ready Classifier: A Complete Pipeline for Assessing 90\u00b0 Change-of-Direction Technique in Footballers"],"prefix":"10.3233","author":[{"given":"Alessandro","family":"Ghibellini","sequence":"first","affiliation":[{"name":"Dept. of Computer Science and Engineering, University of Bologna, Bologna, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefano","family":"Di Paolo","sequence":"additional","affiliation":[{"name":"IRCCS Rizzoli Orthopaedic Institute, Bologna, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefano","family":"Zaffagnini","sequence":"additional","affiliation":[{"name":"IRCCS Rizzoli Orthopaedic Institute, Bologna, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luciano","family":"Bononi","sequence":"additional","affiliation":[{"name":"Dept. of Computer Science and Engineering, University of Bologna, Bologna, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maurizio","family":"Gabbrielli","sequence":"additional","affiliation":[{"name":"Dept. of Computer Science and Engineering, University of Bologna, Bologna, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Francesco","family":"Della Villa","sequence":"additional","affiliation":[{"name":"Isokinetic Medical Group, Bologna, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","ECAI 2025"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA251434","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T10:02:24Z","timestamp":1761127344000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA251434"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,21]]},"ISBN":["9781643686318"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia251434","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10,21]]}}}