Hospital length of stay for COVID-19 patients: Data-driven methods for forward planning
B Vekaria, C Overton, A Wiśniowski, S Ahmad… - BMC Infectious …, 2021 - Springer
Background Predicting hospital length of stay (LoS) for patients with COVID-19 infection is
essential to ensure that adequate bed capacity can be provided without unnecessarily …
essential to ensure that adequate bed capacity can be provided without unnecessarily …
Biased and unbiased estimation of the average length of stay in intensive care units in the Covid-19 pandemic
Background The average length of stay (LOS) in the intensive care unit (ICU_ALOS) is a
helpful parameter summarizing critical bed occupancy. During the outbreak of a novel virus …
helpful parameter summarizing critical bed occupancy. During the outbreak of a novel virus …
Prediction of hospital bed capacity during the COVID− 19 pandemic
M Deschepper, K Eeckloo, S Malfait, D Benoit… - BMC health services …, 2021 - Springer
Background Prediction of the necessary capacity of beds by ward type (eg ICU) is essential
for planning purposes during epidemics, such as the COVID− 19 pandemic. The COVID− 19 …
for planning purposes during epidemics, such as the COVID− 19 pandemic. The COVID− 19 …
COVID-19 length of hospital stay: a systematic review and data synthesis
Background The COVID-19 pandemic has placed an unprecedented strain on health
systems, with rapidly increasing demand for healthcare in hospitals and intensive care units …
systems, with rapidly increasing demand for healthcare in hospitals and intensive care units …
Development and validation of a machine learning model predicting illness trajectory and hospital utilization of COVID-19 patients: a nationwide study
Objective The spread of coronavirus disease 2019 (COVID-19) has led to severe strain on
hospital capacity in many countries. We aim to develop a model helping planners assess …
hospital capacity in many countries. We aim to develop a model helping planners assess …
[HTML][HTML] A machine learning algorithm predicts duration of hospitalization in COVID-19 patients
The COVID-19 pandemic has placed unprecedented strain on the healthcare system,
particularly hospital bed capacity in the setting of large variations in patient length of stay …
particularly hospital bed capacity in the setting of large variations in patient length of stay …
Joint analysis of duration of ventilation, length of intensive care, and mortality of COVID-19 patients: a multistate approach
D Hazard, K Kaier, M von Cube, M Grodd… - BMC medical research …, 2020 - Springer
Background The clinical progress of patients hospitalized due to COVID-19 is often
associated with severe pneumonia which may require intensive care, invasive ventilation, or …
associated with severe pneumonia which may require intensive care, invasive ventilation, or …
Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: model development and multisite external validation study
Objective To create and validate a simple and transferable machine learning model from
electronic health record data to accurately predict clinical deterioration in patients with covid …
electronic health record data to accurately predict clinical deterioration in patients with covid …
Development and validation of a model for individualized prediction of hospitalization risk in 4,536 patients with COVID-19
Background Coronavirus Disease 2019 is a pandemic that is straining healthcare resources,
mainly hospital beds. Multiple risk factors of disease progression requiring hospitalization …
mainly hospital beds. Multiple risk factors of disease progression requiring hospitalization …
COVID-19: Forecasting short term hospital needs in France
C Massonnaud, J Roux, P Crépey - medrxiv, 2020 - medrxiv.org
Europe is now considered as the epicenter of the SARS-CoV-2 pandemic, France being
among the most impacted country. In France, there is an increasing concern regarding the …
among the most impacted country. In France, there is an increasing concern regarding the …