A Gradient-Boosted Decision-Tree Algorithm for the Prediction of Short-Term Mortality in Acute Heart Failure Patients

MLA

Qingqing Mao, et al. “A Gradient-Boosted Decision-Tree Algorithm for the Prediction of Short-Term Mortality in Acute Heart Failure Patients.” Cardiovascular Revascularization Medicine, vol. 28, July 2021, p. S19. EBSCOhost, https://doi.org/10.1016/j.carrev.2021.06.045.

APA

Qingqing Mao, Ritankar Das, Nicole S. Zelin, Jana Hoffman, Anurag Garikipati, Emily Pellegrini, Sina Ghandian, & Ashwath Radhachandran. (2021). A Gradient-Boosted Decision-Tree Algorithm for the Prediction of Short-Term Mortality in Acute Heart Failure Patients. Cardiovascular Revascularization Medicine, 28, S19. https://doi.org/10.1016/j.carrev.2021.06.045

Chicago

Qingqing Mao, Ritankar Das, Nicole S. Zelin, Jana Hoffman, Anurag Garikipati, Emily Pellegrini, Sina Ghandian, and Ashwath Radhachandran. 2021. “A Gradient-Boosted Decision-Tree Algorithm for the Prediction of Short-Term Mortality in Acute Heart Failure Patients.” Cardiovascular Revascularization Medicine 28 (July): S19. doi:10.1016/j.carrev.2021.06.045.