Sheng, S., Li, A., Liu, X., Shen, T., Zhou, W., Lv, X., . . . Zhu, F. Factors and machine learning models for predicting successful discontinuation of continuous renal replacement therapy in critically ill patients with acute kidney injury: A retrospective cohort study based on MIMIC-IV database. BMC.
Chicago Style (17th ed.) CitationSheng, Shuyue, et al. Factors and Machine Learning Models for Predicting Successful Discontinuation of Continuous Renal Replacement Therapy in Critically Ill Patients with Acute Kidney Injury: A Retrospective Cohort Study Based on MIMIC-IV Database. BMC.
MLA (9th ed.) CitationSheng, Shuyue, et al. Factors and Machine Learning Models for Predicting Successful Discontinuation of Continuous Renal Replacement Therapy in Critically Ill Patients with Acute Kidney Injury: A Retrospective Cohort Study Based on MIMIC-IV Database. BMC.