Cite
Artificial Neural Networks Predict 30-Day Mortality After Hip Fracture: Insights From Machine Learning.
MLA
DeBaun, Malcolm R., et al. “Artificial Neural Networks Predict 30-Day Mortality After Hip Fracture: Insights From Machine Learning.” Journal of the American Academy of Orthopaedic Surgeons, vol. 29, no. 22, Nov. 2021, pp. 977–83. EBSCOhost, https://doi.org/10.5435/JAAOS-D-20-00429.
APA
DeBaun, M. R., Chavez, G., Fithian, A., Oladeji, K., Van Rysselberghe, N., Goodnough, L. H., Bishop, J. A., & Gardner, M. J. (2021). Artificial Neural Networks Predict 30-Day Mortality After Hip Fracture: Insights From Machine Learning. Journal of the American Academy of Orthopaedic Surgeons, 29(22), 977–983. https://doi.org/10.5435/JAAOS-D-20-00429
Chicago
DeBaun, Malcolm R., Gustavo Chavez, Andrew Fithian, Kingsley Oladeji, Noelle Van Rysselberghe, L. Henry Goodnough, Julius A. Bishop, and Michael J. Gardner. 2021. “Artificial Neural Networks Predict 30-Day Mortality After Hip Fracture: Insights From Machine Learning.” Journal of the American Academy of Orthopaedic Surgeons 29 (22): 977–83. doi:10.5435/JAAOS-D-20-00429.