APA (7th ed.) Citation

Zhou, Y., Li, F., Wang, Z., Wang, Z., Bian, R., Xue, Z., & Cai, J. Predicting the risk of acute kidney injury in patients with acute pancreatitis complicated by sepsis using a stacked ensemble machine learning model: A retrospective study based on the MIMIC database. BMJ Publishing Group.

Chicago Style (17th ed.) Citation

Zhou, Ying, Fuyuan Li, Zhan Wang, Zhanjin Wang, Ruiling Bian, Zhangtuo Xue, and Junjie Cai. Predicting the Risk of Acute Kidney Injury in Patients with Acute Pancreatitis Complicated by Sepsis Using a Stacked Ensemble Machine Learning Model: A Retrospective Study Based on the MIMIC Database. BMJ Publishing Group.

MLA (9th ed.) Citation

Zhou, Ying, et al. Predicting the Risk of Acute Kidney Injury in Patients with Acute Pancreatitis Complicated by Sepsis Using a Stacked Ensemble Machine Learning Model: A Retrospective Study Based on the MIMIC Database. BMJ Publishing Group.