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 …
Length of stay prediction for Northern Italy COVID-19 patients based on lab tests and X-ray data
The recent spread of COVID-19 put a strain on hospitals all over the world. In this paper we
address the problem of hospital overloads and present a tool based on machine learning to …
address the problem of hospital overloads and present a tool based on machine learning to …
Machine learning techniques to predict different levels of hospital care of CoVid-19
E Hernández-Pereira, O Fontenla-Romero… - Applied …, 2022 - Springer
In this study, we analyze the capability of several state of the art machine learning methods
to predict whether patients diagnosed with CoVid-19 (CoronaVirus disease 2019) will need …
to predict whether patients diagnosed with CoVid-19 (CoronaVirus disease 2019) will need …
Predicting SARS-CoV-2 infection duration at hospital admission: a deep learning solution
P Liuzzi, S Campagnini, C Fanciullacci… - Medical & Biological …, 2022 - Springer
COVID-19 cases are increasing around the globe with almost 5 million of deaths. We
propose here a deep learning model capable of predicting the duration of the infection by …
propose here a deep learning model capable of predicting the duration of the infection by …
A machine learning approach for predicting high risk hospitalized patients with COVID-19 SARS-Cov-2
Background This study aimed to explore whether explainable Artificial Intelligence methods
can be fruitfully used to improve the medical management of patients suffering from complex …
can be fruitfully used to improve the medical management of patients suffering from complex …
Machine learning model from a Spanish cohort for prediction of SARS-COV-2 mortality risk and critical patients
A Reina Reina, JM Barrera, B Valdivieso, ME Gas… - Scientific Reports, 2022 - nature.com
Patients affected by SARS-COV-2 have collapsed healthcare systems around the world.
Consequently, different challenges arise regarding the prediction of hospital needs …
Consequently, different challenges arise regarding the prediction of hospital needs …
[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 …
Machine-learning models for predicting survivability in COVID-19 patients
ID Acheme, OR Vincent - Data Science for COVID-19, 2021 - Elsevier
COVID-19 is a disease currently ravaging the world, bringing unprecedented health and
economic challenges to several nations. There are presently close to five million reported …
economic challenges to several nations. There are presently close to five million reported …
[HTML][HTML] A machine learning-based model for survival prediction in patients with severe COVID-19 infection
L Yan, H Zhang, J Goncalves, Y Xiao, M Wang, Y Guo… - 2020 - europepmc.org
The sudden increase of COVID-19 cases is putting a high pressure on healthcare services
worldwide. At the current stage, fast, accurate and early clinical assessment of the disease …
worldwide. At the current stage, fast, accurate and early clinical assessment of the disease …
Machine learning models for predicting hospitalization and mortality risks of COVID-19 patients
WD de Holanda, LC e Silva, ÁACC Sobrinho - Expert Systems with …, 2024 - Elsevier
Abstract Even though the World Health Organization declared the end of the pandemic,
COVID-19 is still considered an endemic disease, affecting many people worldwide. As a …
COVID-19 is still considered an endemic disease, affecting many people worldwide. As a …