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 …

OBJECTIVES: To evaluate the methodologic rigor and predictive performance of models
predicting ICU readmission; to understand the characteristics of ideal prediction models; and …

To compare different deep learning architectures for predicting the risk of readmission within
30 days of discharge from the intensive care unit (ICU). The interpretability of attention …

Background: Intensive care unit (ICU) readmissions have been shown to increase a patient's
in-hospital mortality and length of stay (LOS). Despite this, no methods have been set in …

Objective This study aims to determine the ability of the National Early Warning Score at ICU
discharge (NEWS dc) to predict the development of clinical deterioration within 24 h …

Purpose To verify whether there is an association between the Nursing Activities Score
(NAS) on the day of discharge from the intensive care unit and readmission.. Materials and …

Background Intensive care unit (ICU) discharges are challenging practices that carry risks
for patients. Despite the existing body of knowledge, there are still difficulties in clinical …

Background: Among septic patients admitted to the intensive care unit (ICU), early
recognition of those with the highest risk of death is of paramount importance. We evaluated …

This study evaluated the accuracy of predicting unplanned the intensive care unit (ICU)
readmission using the Nursing Activities Score (NAS) at ICU discharge based on nursing …

Objectives Predicting the likelihood of adverse events following discharge from the intensive
care unit (ICU) can contribute to improving the quality of surgical care. This study aimed to …