Abstract Background and Aims The precise prediction of COVID‐19 prognosis remains a
clinical challenge. In this regard, early identification of severe cases facilitates the triage and …

COVID-19 pandemic has created an extreme pressure on the global healthcare services.
Fast, reliable, and early clinical assessment of the severity of the disease can help in …

This study established an interpretable machine learning model to predict the severity of
coronavirus disease 2019 (COVID‐19) and output the most crucial deterioration factors …

Different demographic, clinical and laboratory variables have been related to the severity
and mortality following SARS-CoV-2 infection. Most studies applied traditional statistical …

Background The outbreak of coronavirus disease 2019 (COVID-19) that occurred in Wuhan,
China, has become a global public health threat. It is necessary to identify indicators that can …

COVID-19 disease can be classified into various stages depending on the severity of the
patient. Patients in severe stages of COVID-19 need immediate treatment and should be …

COVID-19, which is subsequently named as SARS-CoV-2, First Human case was found in
the City of Wuhan, from China, in Dec 2019. After that, the World health organization (WHO) …

To predict the mortality of patients with coronavirus disease 2019 (COVID-19). We collected
clinical data of COVID-19 patients between January 18 and March 29 2020 in Wuhan …

Abstract Background and Aims To explore the use of different machine learning models in
prediction of COVID‐19 mortality in hospitalized patients. Materials and Methods A total of …

Abstract Background Coronavirus disease (COVID-19) presents an unprecedented threat to
global health worldwide. Accurately predicting the mortality risk among the infected …