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10.1016/j.dsx.2020.05.008

http://scihub22266oqcxt.onion/10.1016/j.dsx.2020.05.008
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32413821!7204706!32413821
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suck abstract from ncbi


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pmid32413821      Diabetes+Metab+Syndr 2020 ; 14 (4): 569-573
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  • A review of modern technologies for tackling COVID-19 pandemic #MMPMID32413821
  • Kumar A; Gupta PK; Srivastava A
  • Diabetes Metab Syndr 2020[Jul]; 14 (4): 569-573 PMID32413821show ga
  • OBJECTIVE: 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.
  • |Betacoronavirus/*pathogenicity[MESH]
  • |COVID-19[MESH]
  • |COVID-19 Testing[MESH]
  • |Clinical Laboratory Techniques/*trends[MESH]
  • |Coronavirus Infections/*diagnosis/prevention & control/transmission/virology[MESH]
  • |Data Mining[MESH]
  • |Humans[MESH]
  • |Machine Learning/*trends[MESH]
  • |Pandemics/prevention & control/*statistics & numerical data[MESH]
  • |Pneumonia, Viral/*diagnosis/prevention & control/transmission/virology[MESH]
  • |SARS-CoV-2[MESH]


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