Prediction of in-hospital mortality after pancreatic resection in pancreatic cancer patients: A boosting approach via a population-based study using health administrative data.

MLA

Velez-Serrano, Jose F., et al. “Prediction of In-Hospital Mortality after Pancreatic Resection in Pancreatic Cancer Patients: A Boosting Approach via a Population-Based Study Using Health Administrative Data.” PLoS ONE, vol. 12, no. 6, June 2017, pp. 1–13. EBSCOhost, https://doi.org/10.1371/journal.pone.0178757.

APA

Velez-Serrano, J. F., Velez-Serrano, D., Hernandez-Barrera, V., Jimenez-Garcia, R., Lopez de Andres, A., Garrido, P. C., & Álvaro-Meca, A. (2017). Prediction of in-hospital mortality after pancreatic resection in pancreatic cancer patients: A boosting approach via a population-based study using health administrative data. PLoS ONE, 12(6), 1–13. https://doi.org/10.1371/journal.pone.0178757

Chicago

Velez-Serrano, Jose F., Daniel Velez-Serrano, Valentin Hernandez-Barrera, Rodrigo Jimenez-Garcia, Ana Lopez de Andres, Pilar Carrasco Garrido, and Alejandro Álvaro-Meca. 2017. “Prediction of In-Hospital Mortality after Pancreatic Resection in Pancreatic Cancer Patients: A Boosting Approach via a Population-Based Study Using Health Administrative Data.” PLoS ONE 12 (6): 1–13. doi:10.1371/journal.pone.0178757.