Objectives Unplanned readmissions to the intensive care unit (ICU) are highly undesirable,
increasing variance in care, making resource planning difficult and potentially increasing …

Rationale: Patients transferred from the intensive care unit to the wards who are later
readmitted to the intensive care unit have increased length of stay, healthcare expenditure …

Unplanned readmissions to ICU contribute to high health care costs and poor patient
outcomes. 6-7% of all ICU cases see a readmission within 72 hours. Machine learning …

Background Unplanned readmission of a hospitalized patient is an indicator of patients'
exposure to risk and an avoidable waste of medical resources. In addition to hospital …

Background Intensive care unit (ICU) survivors experience high levels of morbidity after
hospital discharge and are at high risk of unplanned hospital readmission. Identifying those …

Context: Determining which patients are ready for discharge from an Intensive Care Unit
(ICU) presents a huge challenge, as ICU readmissions are associated with several negative …

OBJECTIVES: Many machine learning (ML) models have been developed for application in
the ICU, but few models have been subjected to external validation. The performance of …

Introduction Septic patients requiring intensive care unit (ICU) readmission are at high risk of
mortality, but research focusing on the association of ICU readmission due to sepsis and …

Purpose Early discharge from the intensive care unit (ICU) may constitute a strategy of
resource consumption optimization; however, unplanned readmission of hospitalized …

Objectives: Unexpected ICU readmission is associated with longer length of stay and
increased mortality. To prevent ICU readmission and death after ICU discharge, our team of …