DVS Edition Citation

Rommers, N, Rössler, R, Verhagen, E, Vandecasteele, F, Verstockt, S, Vaeyens, R, Lenoir, M, D'Hondt, E & Witvrouw, E. (2020). A machine learning approach to assess injury risk in elite youth football players. Medicine & Science in Sports & Exercise, 52 (8), 1745-1751. Zugriff am 05.10.2020 unter https://doi.org/10.1249/MSS.0000000000002305

APA (7th ed.) Citation

Rommers, N., Rössler, R., Verhagen, E., Vandecasteele, F., Verstockt, S., Vaeyens, R., . . . Witvrouw, E. (2020). A machine learning approach to assess injury risk in elite youth football players. Medicine & Science in Sports & Exercise, 52(8), 1745-1751.

Chicago Style (17th ed.) Citation

Rommers, N., R. Rössler, E. Verhagen, F. Vandecasteele, S. Verstockt, R. Vaeyens, M. Lenoir, E. D'Hondt, and E. Witvrouw. "A Machine Learning Approach to Assess Injury Risk in Elite Youth Football Players." Medicine & Science in Sports & Exercise 52, no. 8 (2020): 1745-1751.

MLA (9th ed.) Citation

Rommers, N., et al. "A Machine Learning Approach to Assess Injury Risk in Elite Youth Football Players." Medicine & Science in Sports & Exercise, vol. 52, no. 8, 2020, pp. 1745-1751.