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 …

Rationale: Readmission to the intensive care unit (ICU) is associated with poor clinical
outcomes, increased length of ICU and hospital stay, and higher costs. Nevertheless …

Objective We conducted a systematic review of primary models to predict intensive care unit
(ICU) readmission. Review methods We searched MEDLINE, PubMed, Scopus, and …

Purpose Critical illness is associated with long-term increased mortality and impaired quality
of life (QoL). We assessed whether multidisciplinary consultations would improve outcome …

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 …

Objectives The machine learning prediction model Pacmed Critical (PC), currently under
development, may guide intensivists in their decision-making process on the most …

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 …

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 …

Aim To explore nursing practice and perception of engaging in communicative interaction
when handing over multi‐morbid patients from the ICU to general medical or surgical wards …