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-Zitierstil (7. Ausg.)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-Zitierstil (17. Ausg.)Rommers, N., R. Rössler, E. Verhagen, F. Vandecasteele, S. Verstockt, R. Vaeyens, M. Lenoir, E. D'Hondt, und 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-Zitierstil (9. Ausg.)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.