Objective To review and appraise the validity and usefulness of published and preprint
reports of prediction models for prognosis of patients with covid-19, and for detecting people …

The existence of widespread COVID-19 infections has prompted worldwide efforts to control
and manage the virus, and hopefully curb it completely. One important line of research is the …

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 …

Artificial intelligence has significantly enhanced the research paradigm and spectrum with a
substantiated promise of continuous applicability in the real world domain. Artificial …

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 …

Abstract A pandemic disease, COVID-19, has caused trouble worldwide by infecting millions
of people. The studies that apply artificial intelligence (AI) and machine learning (ML) …

Objectives The purpose of this study was to explore the temporal and spatial characteristics
of COVID-19 transmission and its influencing factors in China, from January to October …

COVID-19 is a global threat that has spread since the end of 2019, causing severe clinical
sequelae and deaths, in the context of a world pandemic. The infection of the highly …

Healthcare digitalization requires effective applications of human sensors, when various
parameters of the human body are instantly monitored in everyday life due to the Internet of …

The COVID-19 pandemic has necessitated the development of reliable diagnostic methods
for accurately detecting the novel coronavirus and its variants. Deep learning (DL) …