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
Style de citation ChicagoHornung, Alexander L., Samuel S. Rudisill, Johnathon R. McCormick, John T. Streepy, William E. Harkin, Noah Bryson, Xavier Simcock, et 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.
Style de citation MLAHornung, 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.