Taborri, J, Molinaro, L, Santospagnuolo, A, Vetrano, M, Vulpiani, M. C. & Rossi, S. (2021). A machine-learning aapproach to measure the anterior cruciate ligament injury risk in female basketball players. Sensors, 21 (9), 3141. Zugriff am 03.06.2021 unter https://doi.org/10.3390/s21093141
APA-Zitierstil (7. Ausg.)Taborri, J., Molinaro, L., Santospagnuolo, A., Vetrano, M., Vulpiani, M. C., & Rossi, S. (2021). A machine-learning aapproach to measure the anterior cruciate ligament injury risk in female basketball players. Sensors, 21(9), 3141.
Chicago-Zitierstil (17. Ausg.)Taborri, J., L. Molinaro, A. Santospagnuolo, M. Vetrano, M. C. Vulpiani, und S. Rossi. "A Machine-learning Aapproach to Measure the Anterior Cruciate Ligament Injury Risk in Female Basketball Players." Sensors 21, no. 9 (2021): 3141.
MLA-Zitierstil (9. Ausg.)Taborri, J., et al. "A Machine-learning Aapproach to Measure the Anterior Cruciate Ligament Injury Risk in Female Basketball Players." Sensors, vol. 21, no. 9, 2021, p. 3141.