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A survey on various techniques to detect COVID-19
An outbreak of a unique coronavirus disease (i.e., COVID-19) has been recorded in Wuhan, China considering the fact that overdue December 2019, which ultimately has become a deadly disease across the world. Although COVID-19 is an acutely dealt with disease, it may additionally be deadly with a haza...
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creator | Hinisha, K. V. Akhila, M. Neethu, G. K. Christabel, Sharon Shijith, P. K. Sneha, P. |
description | An outbreak of a unique coronavirus disease (i.e., COVID-19) has been recorded in Wuhan, China considering the fact that overdue December 2019, which ultimately has become a deadly disease across the world. Although COVID-19 is an acutely dealt with disease, it may additionally be deadly with a hazard of fatality of 4.03% in China and the best of 13.04Algeria and 12.67% in Italy (as of eighth April 2020). The onset of significant contamination may also bring about dying on account of vast alveolar harm and innovative breathing failure. Although laboratory trying out, e.g., the usage of reverse transcription polymerase chain reaction (RT-PCR), is the golden widespread for scientific prognosis, the checks may also produce fake negatives. Moreover, below the pandemic situation, a scarcity of RTPCR trying outsources may additionally put off the subsequent scientific choice and treatment. Under such circumstances, there are many methods for prognosis and analysis of COVID-19 patients. In this survey paper, various deep learning techniques for detection of COVID-19 are discussed. |
doi_str_mv | 10.1063/5.0109469 |
format | conference_proceeding |
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V. ; Akhila, M. ; Neethu, G. K. ; Christabel, Sharon ; Shijith, P. K. ; Sneha, P.</creator><contributor>V., Jisha M. ; R., Rohikaa Micky ; P., Ambili M.</contributor><creatorcontrib>Hinisha, K. V. ; Akhila, M. ; Neethu, G. K. ; Christabel, Sharon ; Shijith, P. K. ; Sneha, P. ; V., Jisha M. ; R., Rohikaa Micky ; P., Ambili M.</creatorcontrib><description>An outbreak of a unique coronavirus disease (i.e., COVID-19) has been recorded in Wuhan, China considering the fact that overdue December 2019, which ultimately has become a deadly disease across the world. Although COVID-19 is an acutely dealt with disease, it may additionally be deadly with a hazard of fatality of 4.03% in China and the best of 13.04Algeria and 12.67% in Italy (as of eighth April 2020). The onset of significant contamination may also bring about dying on account of vast alveolar harm and innovative breathing failure. Although laboratory trying out, e.g., the usage of reverse transcription polymerase chain reaction (RT-PCR), is the golden widespread for scientific prognosis, the checks may also produce fake negatives. Moreover, below the pandemic situation, a scarcity of RTPCR trying outsources may additionally put off the subsequent scientific choice and treatment. Under such circumstances, there are many methods for prognosis and analysis of COVID-19 patients. 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Moreover, below the pandemic situation, a scarcity of RTPCR trying outsources may additionally put off the subsequent scientific choice and treatment. Under such circumstances, there are many methods for prognosis and analysis of COVID-19 patients. 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Although laboratory trying out, e.g., the usage of reverse transcription polymerase chain reaction (RT-PCR), is the golden widespread for scientific prognosis, the checks may also produce fake negatives. Moreover, below the pandemic situation, a scarcity of RTPCR trying outsources may additionally put off the subsequent scientific choice and treatment. Under such circumstances, there are many methods for prognosis and analysis of COVID-19 patients. In this survey paper, various deep learning techniques for detection of COVID-19 are discussed.</abstract><cop>Melville</cop><pub>American Institute of Physics</pub><doi>10.1063/5.0109469</doi><tpages>3</tpages></addata></record> |
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source | American Institute of Physics:Jisc Collections:Transitional Journals Agreement 2021-23 (Reading list) |
subjects | Coronaviruses COVID-19 Polymerase chain reaction Prognosis Viral diseases |
title | A survey on various techniques to detect COVID-19 |
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