APA Zitierstil

Hornung, A. L., Rudisill, S. S., McCormick, J. R., Streepy, J. T., Harkin, W. E., Bryson, N., . . . Garrigues, G. E. (2024). Preoperative factors predict prolonged length of stay, serious adverse complications, and readmission following operative intervention of proximal humerus fractures: A machine learning analysis of a national database. JSES international, 8(4), 699. https://doi.org/10.1016/j.jseint.2024.02.005

Chicago Zitierstil

Hornung, Alexander L., Samuel S. Rudisill, Johnathon R. McCormick, John T. Streepy, William E. Harkin, Noah Bryson, Xavier Simcock, und Grant E. Garrigues. "Preoperative Factors Predict Prolonged Length of Stay, Serious Adverse Complications, and Readmission Following Operative Intervention of Proximal Humerus Fractures: A Machine Learning Analysis of a National Database." JSES International 8, no. 4 (2024): 699. https://dx.doi.org/10.1016/j.jseint.2024.02.005.

MLA Zitierstil

Hornung, Alexander L., et al. "Preoperative Factors Predict Prolonged Length of Stay, Serious Adverse Complications, and Readmission Following Operative Intervention of Proximal Humerus Fractures: A Machine Learning Analysis of a National Database." JSES International, vol. 8, no. 4, 2024, p. 699.