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10.1016/j.matpr.2021.01.240

http://scihub22266oqcxt.onion/10.1016/j.matpr.2021.01.240
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33552932!7846217!33552932
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suck abstract from ncbi


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pmid33552932      Mater+Today+Proc 2021 ; ä (ä): ä
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  • Fuzzy Cloud Based COVID-19 Diagnosis Assistant for identifying affected cases globally using MCDM #MMPMID33552932
  • Ahmad S; Mehfuz S; Beg J; Ahmad Khan N; Husain Khan A
  • Mater Today Proc 2021[Jan]; ä (ä): ä PMID33552932show ga
  • The COVID-19, Coronavirus Disease 2019, emerged as a hazardous disease that led to many causalities across the world. Early detection of COVID-19 in patients and proper treatment along with awareness can help to contain COVID-19. Proposed Fuzzy Cloud-Based (FCB) COVID-19 Diagnosis Assistant aims to identify the patients as confirmed, suspects, or suspicious of COVID-19. It categorized the patients into four categories as mild, moderate, severe, or critical. As patients register themselves online on the FCB COVID-19 DA in real-time, it creates the database for the same. This database helps to improve diagnostic accuracy as it contains the latest updates from real-world cases data. A team of doctors, experts, consultants are integrated with the FCB COVID-19 DA for better consultation and prevention. The ultimate aim of this proposed theory of FCB COVID-19 DA is to take control of COVID-19 pandemic and de-accelerate its rate of transmission among the society.
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