Hybrid Deep-Learning and Machine-Learning Models for Predicting COVID-19.

ABSTRACT: The COVID-19 pandemic has had a significant impact on public life and health worldwide, putting the world's healthcare systems at risk. The first step in stopping this outbreak is to detect the infection in its early stages, which will relieve the risk, control the outbreak's spread, and restore full functionality to the world's healthcare systems. Currently, PCR is the most prevalent diagnosis tool for COVID-19. However, chest X-ray images may play an essential role in detecting this disease, as they are successful for many other viral pneumonia diseases. Unfortunately, there are common features between COVID-19 and other viral pneumonia, and hence manual differentiation between them seems to be a critical problem and needs the aid of artificial intelligence. This research employs deep- a

SUBMITTER: Qaid TS 

PROVIDER: S-EPMC8357494 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature