Association of severity of illness and intensive care unit readmission: A systematic review

EG Wong, AM Parker, DG Leung, EP Brigham… - Heart & Lung, 2016 - Elsevier
Objectives To determine whether ICU readmission is associated with higher severity of
illness scores in adult patients. Background Readmissions to the intensive care unit (ICU) …

A systematic review of tools for predicting severe adverse events following patient discharge from intensive care units

FS Hosein, N Bobrovitz, S Berthelot, D Zygun… - Critical Care, 2013 - Springer
Introduction The discharge of patients from the intensive care unit (ICU) to a hospital ward is
a common transition of care that is associated with error and adverse events. Risk …

Predicting intensive care unit readmission with machine learning using electronic health record data

JC Rojas, KA Carey, DP Edelson… - Annals of the …, 2018 - atsjournals.org
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 …

Intensive care unit readmissions in US hospitals: patient characteristics, risk factors, and outcomes

AA Kramer, TL Higgins, JE Zimmerman - Critical care medicine, 2012 - journals.lww.com
Objective: To examine which patient characteristics increase the risk for intensive care unit
readmission and assess the association of readmission with case-mix adjusted mortality and …

Data mining using clinical physiology at discharge to predict ICU readmissions

AS Fialho, F Cismondi, SM Vieira, SR Reti… - Expert Systems with …, 2012 - Elsevier
Patient readmissions to intensive care units (ICUs) are associated with increased mortality,
morbidity and costs. Current models for predicting ICU readmissions have moderate …

Explainable machine learning on AmsterdamUMCdb for ICU discharge decision support: uniting intensivists and data scientists

PJ Thoral, M Fornasa, DP De Bruin… - Critical care …, 2021 - journals.lww.com
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 …

A clinical decision support system for edge/cloud ICU readmission model based on particle swarm optimization, ensemble machine learning, and explainable artificial …

M Alabdulhafith, H Saleh, H Elmannai, ZH Ali… - IEEE …, 2023 - ieeexplore.ieee.org
ICU readmission is usually associated with an increased number of hospital death.
Predicting readmission helps to reduce such risks by avoiding early discharge, providing …

Improving intensive care unit early readmission prediction using optimized and explainable machine learning

JA González-Nóvoa, S Campanioni, L Busto… - International Journal of …, 2023 - mdpi.com
It is of great interest to develop and introduce new techniques to automatically and efficiently
analyze the enormous amount of data generated in today's hospitals, using state-of-the-art …

Intensive care readmission: a contemporary review of the literature

M Elliott, L Worrall-Carter, K Page - Intensive and Critical Care Nursing, 2014 - Elsevier
ICU readmissions are a commonly used quality measure but despite decades of research,
these adverse events continue to occur. Of particular concern is that readmitted patients …

[HTML][HTML] The problem of the last bed: Contextualization and a new simulation framework for analyzing physician decisions

C Azcarate, L Esparza, F Mallor - Omega, 2020 - Elsevier
Faced with a full Intensive Care Unit (ICU), physicians need to decide between turning away
a new patient in need of critical care and creating a vacancy by prematurely discharging a …