A Machine Learning Approach to Concussion Risk Estimation Among Players Exhibiting Visible Signs in Professional Hockey.

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Title: A Machine Learning Approach to Concussion Risk Estimation Among Players Exhibiting Visible Signs in Professional Hockey.
Authors: Bruce JM; Department of Biomedical and Health Informatics, University of Missouri-Kansas City School of Medicine, Kansas City, MO, 64108, USA. brucejm@umkc.edu.; Department of Neurology, University Health, Kansas City, MO, 64108, USA. brucejm@umkc.edu.; Department of Psychiatry, University Health, Kansas City, MO, 64108, USA. brucejm@umkc.edu., Riegler KE; Princeton Neuropsychology and Sports Concussion Center of New Jersey at RSM Psychology, Princeton, NJ, 08540, USA., Meeuwisse W; The National Hockey League, New York, NY, USA., Comper P; Faculty of Kinesiology and Physical Education, University of Toronto, Toronto, ON, MS55 1A1, Canada.; Toronto Rehabilitation Institute, Toronto, ON, M5G 2A2, Canada., Hutchison MG; Faculty of Kinesiology and Physical Education, University of Toronto, Toronto, ON, MS55 1A1, Canada., Delaney JS; McGill Sport Medicine Clinic, Montreal, QC, Canada.; Department of Emergency Medicine, McGill University Health Centre, Montreal, QC, Canada., Echemendia RJ; Psychological and Neurobehavioral Associates, Inc., State College, PA, 16801, USA.
Source: Sports medicine (Auckland, N.Z.) [Sports Med] 2025 Mar; Vol. 55 (3), pp. 729-738. Date of Electronic Publication: 2024 Sep 17.
Publication Type: Journal Article
Journal Info: Publisher: Adis, Springer International Country of Publication: New Zealand NLM ID: 8412297 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1179-2035 (Electronic) Linking ISSN: 01121642 NLM ISO Abbreviation: Sports Med Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1179-2035
DOI:10.1007/s40279-024-02112-2