[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 …
Time-to-event modeling for hospital length of stay prediction for COVID-19 patients
Providing timely patient care while maintaining optimal resource utilization is one of the
central operational challenges hospitals have been facing throughout the pandemic …
central operational challenges hospitals have been facing throughout the pandemic …
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 …
Prediction of length of stay in the emergency department for COVID-19 patients: A machine learning approach
The coronavirus disease (COVID-19) outbreak has become a global public health threat.
The influx of COVID-19 patients has prolonged the length of stay (LOS) in the emergency …
The influx of COVID-19 patients has prolonged the length of stay (LOS) in the emergency …
Using machine learning in prediction of ICU admission, mortality, and length of stay in the early stage of admission of COVID-19 patients
S Saadatmand, K Salimifard, R Mohammadi… - Annals of Operations …, 2023 - Springer
The recent COVID-19 pandemic has affected health systems across the world. Especially,
Intensive Care Units (ICUs) have played a pivotal role in the treatment of critically-ill patients …
Intensive Care Units (ICUs) have played a pivotal role in the treatment of critically-ill patients …
Predicting hospitalization of COVID-19 positive patients using clinician-guided machine learning methods
Objectives The coronavirus disease 2019 (COVID-19) is a resource-intensive global
pandemic. It is important for healthcare systems to identify high-risk COVID-19-positive …
pandemic. It is important for healthcare systems to identify high-risk COVID-19-positive …
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 …
Predicting in-hospital length of stay: a two-stage modeling approach to account for highly skewed data
Background In the early stages of the COVID-19 pandemic our institution was interested in
forecasting how long surgical patients receiving elective procedures would spend in the …
forecasting how long surgical patients receiving elective procedures would spend in the …
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 …
Machine learning models for predicting short-long length of stay of COVID-19 patients
During 2020 and 2021, managing limited healthcare resources and hospital beds has been
a fundamental aspect of the fight against the COVID-19 pandemic. Predicting in advance the …
a fundamental aspect of the fight against the COVID-19 pandemic. Predicting in advance the …