Taborri, J.; Molinaro, L.; Santospagnuolo, A.; Vetrano, M.; Vulpiani, M.C.; Rossi, S.
A Machine-Learning Approach to Measure the Anterior Cruciate Ligament Injury Risk in Female Basketball Players. Sensors 2021, 21, 3141.
https://doi.org/10.3390/s21093141
AMA Style
Taborri J, Molinaro L, Santospagnuolo A, Vetrano M, Vulpiani MC, Rossi S.
A Machine-Learning Approach to Measure the Anterior Cruciate Ligament Injury Risk in Female Basketball Players. Sensors. 2021; 21(9):3141.
https://doi.org/10.3390/s21093141
Chicago/Turabian Style
Taborri, Juri, Luca Molinaro, Adriano Santospagnuolo, Mario Vetrano, Maria Chiara Vulpiani, and Stefano Rossi.
2021. "A Machine-Learning Approach to Measure the Anterior Cruciate Ligament Injury Risk in Female Basketball Players" Sensors 21, no. 9: 3141.
https://doi.org/10.3390/s21093141
APA Style
Taborri, J., Molinaro, L., Santospagnuolo, A., Vetrano, M., Vulpiani, M. C., & Rossi, S.
(2021). A Machine-Learning Approach to Measure the Anterior Cruciate Ligament Injury Risk in Female Basketball Players. Sensors, 21(9), 3141.
https://doi.org/10.3390/s21093141