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10.1016/j.procs.2021.05.039 http://scihub22266oqcxt.onion/10.1016/j.procs.2021.05.039 34131453!8191524!34131453     free     free     free       Procedia+Comput+Sci 2021 ; 185 (ä): 380-386 Nephropedia Template TP {{tp|p=34131453|t=2021. AI in Fighting Covid-19: Pandemic Management |pdf=|usr=}}{{34131453}} gab.com Text AI in Fighting Covid-19: Pandemic Management JO: Procedia Comput Sci http://www.kidney.de/pget.php?&tw=1&pmid=34131453 #FOAvip Coronaviruses are a family of viruses found in several animal species, such as bats, cattle, cats, camels, and humans. With more than 1.6 million people dead worldwide, as of December 2020, the Covid-19 pandemic has brought about a unified need to address global health crises more aggressively. There is great urgency in decreasing the impact of a potential future outbreak, which can be done by gathering information about the disease and its effects on humans. Various artificial intelligence (AI) techniques can be utilized for the pandemic, such as COVID (CoV) management, a vast scientific field involving computers performing tasks capable of only human brains. Among the subsets of AI, there are Machine Learning (ML) techniques, which can learn from historical data examples without programming. While no prior data regarding the virus exists, the growing cases make for more data. In this research, we employ a literature review method to understand pandemic management's current state and how it can benefit by utilizing AI capabilities. Twit Text FOAVip AI in Fighting Covid-19: Pandemic Management ????Procedia Comput Sci http://www.kidney.de/pget.php?&tw=1&pmid=34131453 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34131453 #FOAvip English Wikipedia <ref>{{Cite pmid|34131453}}</ref> AI in Fighting Covid-19: Pandemic Management #MMPMID34131453 Tripathi A; Kaur P; Suresh S Procedia Comput Sci 2021[]; 185 (ä): 380-386 PMID34131453show ga Coronaviruses are a family of viruses found in several animal species, such as bats, cattle, cats, camels, and humans. With more than 1.6 million people dead worldwide, as of December 2020, the Covid-19 pandemic has brought about a unified need to address global health crises more aggressively. There is great urgency in decreasing the impact of a potential future outbreak, which can be done by gathering information about the disease and its effects on humans. Various artificial intelligence (AI) techniques can be utilized for the pandemic, such as COVID (CoV) management, a vast scientific field involving computers performing tasks capable of only human brains. Among the subsets of AI, there are Machine Learning (ML) techniques, which can learn from historical data examples without programming. While no prior data regarding the virus exists, the growing cases make for more data. In this research, we employ a literature review method to understand pandemic management's current state and how it can benefit by utilizing AI capabilities. äAI in Fighting Covid-19: Pandemic Management (epmc).pdf DeepDyve Pubget Overpricing