Early prediction of patient mortality risks during a pandemic can decrease mortality by
assuring efficient resource allocation and treatment planning. This study aimed to develop …

The coronavirus disease 2019 (COVID-19), caused by the virus SARS-CoV-2, is an acute
respiratory disease that has been classified as a pandemic by the World Health …

Background The recent pandemic of CoVID-19 has emerged as a threat to global health
security. There are very few prognostic models on CoVID-19 using machine learning …

Soaring cases of coronavirus disease (COVID-19) are pummeling the global health system.
Overwhelmed health facilities have endeavored to mitigate the pandemic, but mortality of …

The sudden increase in COVID-19 cases is putting high pressure on healthcare services
worldwide. At this stage, fast, accurate and early clinical assessment of the disease severity …

Background The coronavirus disease (COVID-19) hospitalized patients are always at risk of
death. Machine learning (ML) algorithms can be used as a potential solution for predicting …

In the wake of COVID-19 disease, caused by the SARS-CoV-2 virus, we designed and
developed a predictive model based on Artificial Intelligence (AI) and Machine Learning …

Objectives To appraise effective predictors for COVID-19 mortality in a retrospective cohort
study. Methods A total of 1270 COVID-19 patients, including 984 admitted in Sino French …

Since its emergence in late 2019, the severe acute respiratory syndrome coronavirus 2
(SARS-CoV-2) has caused a pandemic with more than 55 million reported cases and 1.3 …

The rapid spread of COVID-19 has resulted in the shortage of medical resources, which
necessitates accurate prognosis prediction to triage patients effectively. This study used the …