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10.3390/ijerph17093176

http://scihub22266oqcxt.onion/10.3390/ijerph17093176
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32370204!7246824!32370204
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suck abstract from ncbi


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pmid32370204      Int+J+Environ+Res+Public+Health 2020 ; 17 (9): ä
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  • How Big Data and Artificial Intelligence Can Help Better Manage the COVID-19 Pandemic #MMPMID32370204
  • Bragazzi NL; Dai H; Damiani G; Behzadifar M; Martini M; Wu J
  • Int J Environ Res Public Health 2020[May]; 17 (9): ä PMID32370204show ga
  • SARS-CoV2 is a novel coronavirus, responsible for the COVID-19 pandemic declared by the World Health Organization. Thanks to the latest advancements in the field of molecular and computational techniques and information and communication technologies (ICTs), artificial intelligence (AI) and Big Data can help in handling the huge, unprecedented amount of data derived from public health surveillance, real-time epidemic outbreaks monitoring, trend now-casting/forecasting, regular situation briefing and updating from governmental institutions and organisms, and health facility utilization information. The present review is aimed at overviewing the potential applications of AI and Big Data in the global effort to manage the pandemic.
  • |*Artificial Intelligence[MESH]
  • |*Big Data[MESH]
  • |COVID-19[MESH]
  • |Coronavirus Infections/*epidemiology/*prevention & control[MESH]
  • |Humans[MESH]
  • |Pandemics/*prevention & control[MESH]
  • |Pneumonia, Viral/*epidemiology/*prevention & control[MESH]


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  • suck abstract from ncbi

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