DVS Edition Citation

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 (7th ed.) Citation

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 Style (17th ed.) Citation

Jauhiainen, S., J.-P Kauppi, T. Krosshaug, R. Bahr, J. Bartsch, and 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 (9th ed.) Citation

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.