APA (7th ed.) Citation

DP, S., JH, W., AJ, G. S., H, A., J, E., J, H., . . . AJ, K. (2023). A Pilot Machine Learning Study Using Trauma Admission Data to Identify Risk for High Length of Stay. Surgical innovation, 30(3), 356. https://doi.org/10.1177/15533506221139965

Chicago Style (17th ed.) Citation

DP, Stonko, et al. "A Pilot Machine Learning Study Using Trauma Admission Data to Identify Risk for High Length of Stay." Surgical Innovation 30, no. 3 (2023): 356. https://doi.org/10.1177/15533506221139965.

MLA (9th ed.) Citation

DP, Stonko, et al. "A Pilot Machine Learning Study Using Trauma Admission Data to Identify Risk for High Length of Stay." Surgical Innovation, vol. 30, no. 3, 2023, p. 356, https://doi.org/10.1177/15533506221139965.