DVS Edition Citation

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 (7th ed.) Citation

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 Style (17th ed.) Citation

Taborri, J., L. Molinaro, A. Santospagnuolo, M. Vetrano, M. C. Vulpiani, and 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 (9th ed.) Citation

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.