[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 …

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… - Annals of operations … - pubmed.ncbi.nlm.nih.gov
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 …

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… - Annals of …, 2023 - search.ebscohost.com
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 …

[PDF][PDF] 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, A Kuiper… - academia.edu
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 …

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… - Annals of Operations …, 2022 - europepmc.org
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 …

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 - dare.uva.nl
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 …

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… - Annals of Operations …, 2023 - ideas.repec.org
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 …

[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 … - ncbi.nlm.nih.gov
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 …

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… - Annals of …, 2023 - econpapers.repec.org
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 …

[PDF][PDF] 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 - ibisuva.nl
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 …