A review of modern technologies for tackling COVID-19 pandemic

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dc.creatorKumar, Aishwarya
dc.creatorGupta, Puneet Kumar
dc.creatorSrivastava, Ankita
dc.date.accessioned2020-07-27T16:27:55Z
dc.date.available2020-07-27T16:27:55Z
dc.date.created2020-08
dc.description.abstractenglishObjective Science and technology sector constituting of data science, machine learning and artificial intelligence are contributing towards COVID-19. The aim of the present study is to discuss the various aspects of modern technology used to fight against COVID-19 crisis at different scales, including medical image processing, disease tracking, prediction outcomes, computational biology and medicines. Methods A progressive search of the database related to modern technology towards COVID-19 is made. Further, a brief review is done on the extracted information by assessing the various aspects of modern technologies for tackling COVID-19 pandemic. Results We provide a window of thoughts on review of the technology advances used to decrease and smother the substantial impact of the outburst. Though different studies relating to modern technology towards COVID-19 have come up, yet there are still constrained applications and contributions of technology in this fight. Conclusions On-going progress in the modern technology has contributed in improving people’s lives and hence there is a solid conviction that validated research plans including artificial intelligence will be of significant advantage in helping people to fight this infection.spa
dc.format.extent5 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.identifier.doihttps://doi.org/10.1016/j.dsx.2020.05.008spa
dc.identifier.issn1871-4021spa
dc.identifier.otherhttps://www.sciencedirect.com/science/article/pii/S1871402120301272?via%3Dihubspa
dc.identifier.urihttps://hdl.handle.net/20.500.12010/11179
dc.publisherDiabetes & Metabolic Syndrome: Clinical Research & Reviewseng
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.sourcereponame:Expeditio Repositorio Institucional UJTLspa
dc.sourceinstname:Universidad de Bogotá Jorge Tadeo Lozanospa
dc.subjectInteligencia artificialspa
dc.subjectAprendizaje automáticospa
dc.subject.keywordArtificial intelligencespa
dc.subject.keywordMachine learningspa
dc.subject.keywordEpidemicspa
dc.subject.lembSíndrome respiratorio agudo gravespa
dc.subject.lembCOVID-19spa
dc.subject.lembSARS-CoV-2spa
dc.subject.lembCoronavirusspa
dc.titleA review of modern technologies for tackling COVID-19 pandemicspa
dc.type.hasversioninfo:eu-repo/semantics/acceptedVersionspa
dc.type.localArtículospa

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