COVID-19 Data Analytics Using Extended Convolutional Technique.
Ontology highlight
ABSTRACT: The healthcare system, lifestyle, industrial growth, economy, and livelihood of human beings worldwide were affected due to the triggered global pandemic by the COVID-19 virus that originated and was first reported in Wuhan city, Republic Country of China. COVID cases are difficult to predict and detect in their early stages, and their spread and mortality are uncontrollable. The reverse transcription polymerase chain reaction (RT-PCR) is still the first and foremost diagnostical methodology accepted worldwide; hence, it creates a scope of new diagnostic tools and techniques of detection approach which can produce effective and faster results compared with its predecessor. Innovational through current studies that complement the existence of the novel coronavirus (COVID-19) to findings in
SUBMITTER: Gupta AK
PROVIDER: S-EPMC9663236 | biostudies-literature | 2022
REPOSITORIES: biostudies-literature
ACCESS DATA