[HTML][HTML] Pre-hospital prediction of adverse outcomes in patients with suspected COVID-19: Development, application and comparison of machine learning and deep …

Computers in Biology and Medicine, 2022 - Elsevier
Background: COVID-19 infected millions of people and increased mortality worldwide.
Patients with suspected COVID-19 utilised emergency medical services (EMS) and attended …

[HTML][HTML] Pre-hospital prediction of adverse outcomes in patients with suspected COVID-19: Development, application and comparison of machine learning and deep …

M Hasan, PA Bath, C Marincowitz, L Sutton… - Computers in Biology …, 2022 - ncbi.nlm.nih.gov
Background: COVID-19 infected millions of people and increased mortality worldwide.
Patients with suspected COVID-19 utilised emergency medical services (EMS) and attended …

Pre-hospital prediction of adverse outcomes in patients with suspected COVID-19: development, application and comparison of machine learning and deep learning …

M Hasan, PA Bath, C Marincowitz… - … in Biology and …, 2022 - eprints.whiterose.ac.uk
Background: COVID-19 infected millions of people and increased mortality worldwide.
Patients with suspected COVID-19 utilised emergency medical services (EMS) and attended …

Pre-hospital prediction of adverse outcomes in patients with suspected COVID-19: Development, application and comparison of machine learning and deep learning …

M Hasan, PA Bath, C Marincowitz, L Sutton… - Computers in Biology …, 2022 - shura.shu.ac.uk
Background: COVID-19 infected millions of people and increased mortality worldwide.
Patients with suspected COVID-19 utilised emergency medical services (EMS) and attended …

[引用][C] Pre-hospital prediction of adverse outcomes in patients with suspected COVID-19: development, application and comparison of machine learning and deep …

M Hasan, PA Bath, C Marincowitz, L Sutton, R Pilbery… - 2022 - amber.openrepository.com
Pre-hospital prediction of adverse outcomes in patients with suspected COVID-19:
development, application and comparison of machine learning and deep learning methods …

Pre-hospital prediction of adverse outcomes in patients with suspected COVID-19: Development, application and comparison of machine learning and deep learning …

M Hasan, PA Bath, C Marincowitz… - … in biology and …, 2022 - pubmed.ncbi.nlm.nih.gov
Background COVID-19 infected millions of people and increased mortality worldwide.
Patients with suspected COVID-19 utilised emergency medical services (EMS) and attended …

Pre-Hospital Prediction of Adverse Outcomes in Patients with Suspected COVID-19: Development, Application and Comparison of Machine Learning and Deep …

M Hasan, P Bath, C Marincowitz, L Sutton, R Pilbery… - papers.ssrn.com
The severe acute respiratory syndrome coronavirus 2 (SARS-Co-2) infected millions of
people with COVID-19 worldwide and led to increased mortality globally. Patients with …

Pre-hospital prediction of adverse outcomes in patients with suspected COVID-19:: Development, application and comparison of machine learning and deep learning …

M Hasan, PA Bath, C Marincowitz, L Sutton, R Pilbery… - 2022 - dl.acm.org
Background: COVID-19 infected millions of people and increased mortality worldwide.
Patients with suspected COVID-19 utilised emergency medical services (EMS) and attended …

Pre-hospital prediction of adverse outcomes in patients with suspected COVID-19: Development, application and comparison of machine learning and deep learning …

M Hasan, PA Bath, C Marincowitz, L Sutton… - Computers in Biology …, 2022 - europepmc.org
Background COVID-19 infected millions of people and increased mortality worldwide.
Patients with suspected COVID-19 utilised emergency medical services (EMS) and attended …

Pre-hospital prediction of adverse outcomes in patients with suspected COVID-19: Development, application and comparison of machine learning and deep learning …

M Hasan, PA Bath, C Marincowitz, L Sutton… - Computers in Biology …, 2022 - europepmc.org
Background COVID-19 infected millions of people and increased mortality worldwide.
Patients with suspected COVID-19 utilised emergency medical services (EMS) and attended …