APA (7th ed.) Citation

J, T., L, M., A, S., M, V., MC, V., & S, R. (2021). A Machine-Learning Approach to Measure the Anterior Cruciate Ligament Injury Risk in Female Basketball Players. Sensors (Basel, Switzerland), 21(9), . https://doi.org/10.3390/s21093141

Chicago Style (17th ed.) Citation

J, Taborri, Molinaro L, Santospagnuolo A, Vetrano M, Vulpiani MC, and Rossi S. "A Machine-Learning Approach to Measure the Anterior Cruciate Ligament Injury Risk in Female Basketball Players." Sensors (Basel, Switzerland) 21, no. 9 (2021). https://doi.org/10.3390/s21093141.

MLA (9th ed.) Citation

J, Taborri, et al. "A Machine-Learning Approach to Measure the Anterior Cruciate Ligament Injury Risk in Female Basketball Players." Sensors (Basel, Switzerland), vol. 21, no. 9, 2021, https://doi.org/10.3390/s21093141.