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

Media coverage

• Title	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
  Media name/outlet	BMC Nephrology
  Country/Territory	United Kingdom
  Date	12/11/24
  URL	https://bmcnephrol.biomedcentral.com/articles/10.1186/s12882-024-03844-z
  Persons	Yang Deng