Using Machine Learning (XGBoost) to Predict Outcomes After Infrainguinal Bypass for Peripheral Artery Disease.

MLA

Li, Ben, et al. “Using Machine Learning (XGBoost) to Predict Outcomes After Infrainguinal Bypass for Peripheral Artery Disease.” Annals of Surgery, vol. 279, no. 4, Apr. 2024, pp. 705–13. EBSCOhost, https://doi.org/10.1097/SLA.0000000000006181.

APA

Li, B., Eisenberg, N., Beaton, D., Lee, D. S., Aljabri, B., Verma, R., Wijeysundera, D. N., Rotstein, O. D., de Mestral, C., Mamdani, M., Roche-Nagle, G., & Al-Omran, M. (2024). Using Machine Learning (XGBoost) to Predict Outcomes After Infrainguinal Bypass for Peripheral Artery Disease. Annals of Surgery, 279(4), 705–713. https://doi.org/10.1097/SLA.0000000000006181

Chicago

Li, Ben, Naomi Eisenberg, Derek Beaton, Douglas S Lee, Badr Aljabri, Raj Verma, Duminda N Wijeysundera, et al. 2024. “Using Machine Learning (XGBoost) to Predict Outcomes After Infrainguinal Bypass for Peripheral Artery Disease.” Annals of Surgery 279 (4): 705–13. doi:10.1097/SLA.0000000000006181.