People worldwide are part of the fight against time to deal with the peculiarly invisible enemy—
Covid-19 (Coronavirus). This viral pandemic spreads rapidly and is transmitted through …

Background and purpose The COVID-19 pandemic has presented unprecedented public
health challenges worldwide. Understanding the factors contributing to COVID-19 mortality …

Background COVID-19 has strained healthcare resources, necessitating efficient
prognostication to triage patients effectively. This study quantified COVID-19 risk factors and …

The new coronavirus, which began to be called SARS-CoV-2, is a single-stranded RNA beta
coronavirus, initially identified in Wuhan (Hubei province, China) and currently spreading …

The pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is
an emerging crisis affecting the public health system. The clinical features of COVID-19 can …

Background and objectives We aim to verify the use of ML algorithms to predict patient
outcome using a relatively small dataset and to create a nomogram to assess in-hospital …

Background: The global spread of coronavirus disease 2019 (COVID-19) continues to
threaten human health security, exerting considerable pressure on healthcare systems …

Abstract Coronavirus disease 2019 (COVID-19) is an unprecedented and fast evolving
pandemic, which has caused a large number of critically ill patients and deaths globally. It is …

In this paper, we present the application of a Machine Learning (ML) approach that
generates predictions to support healthcare professionals to identify the outcome of patients …

Abstract Background The coronavirus (COVID-19) is a novel pandemic and recently we do
not have enough knowledge about the virus behaviour and key performance indicators …