[HTML][HTML] 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 …
[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 …
[HTML][HTML] 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 …
[HTML][HTML] 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 …
[HTML][HTML] Machine-learning approaches in COVID-19 survival analysis and discharge-time likelihood prediction using clinical data
As a highly contagious respiratory disease, COVID-19 has yielded high mortality rates since
its emergence in December 2019. As the number of COVID-19 cases soars in epicenters …
its emergence in December 2019. As the number of COVID-19 cases soars in epicenters …
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 …
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 predictive model of clinical deterioration among hospitalized COVID-19 patients by harnessing hospital course trajectories
From early March through mid-May 2020, the COVID-19 pandemic overwhelmed hospitals
in New York City. In anticipation of ventilator shortages and limited ICU bed capacity …
in New York City. In anticipation of ventilator shortages and limited ICU bed capacity …
[HTML][HTML] Learning accurate personalized survival models for predicting hospital discharge and mortality of COVID-19 patients
Since it emerged in December of 2019, COVID-19 has placed a huge burden on medical
care in countries throughout the world, as it led to a huge number of hospitalizations and …
care in countries throughout the world, as it led to a huge number of hospitalizations and …
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 …