Jauhiainen, S, Kauppi, J.-P, Krosshaug, T, Bahr, R, Bartsch, J & Äyrämö, S. (2022). Predicting ACL injury using machine learning on data from an extensive screening test battery of 880 female elite athletes. The American Journal of Sports Medicine, 50 (11), 2917-2924. Zugriff am 03.11.2022 unter https://doi.org/10.1177/03635465221112095
APA-Zitierstil (7. Ausg.)Jauhiainen, S., Kauppi, J., Krosshaug, T., Bahr, R., Bartsch, J., & Äyrämö, S. (2022). Predicting ACL injury using machine learning on data from an extensive screening test battery of 880 female elite athletes. The American Journal of Sports Medicine, 50(11), 2917-2924.
Chicago-Zitierstil (17. Ausg.)Jauhiainen, S., J.-P Kauppi, T. Krosshaug, R. Bahr, J. Bartsch, und S. Äyrämö. "Predicting ACL Injury Using Machine Learning on Data from an Extensive Screening Test Battery of 880 Female Elite Athletes." The American Journal of Sports Medicine 50, no. 11 (2022): 2917-2924.
MLA-Zitierstil (9. Ausg.)Jauhiainen, S., et al. "Predicting ACL Injury Using Machine Learning on Data from an Extensive Screening Test Battery of 880 Female Elite Athletes." The American Journal of Sports Medicine, vol. 50, no. 11, 2022, pp. 2917-2924.