A Review on Effectiveness of Artificial Intelligence Techniques in the Detection of COVID-19

Swetha, M.; Rajendiran, M.

doi:10.1109/smart50582.2020.9336798

Cited by 1 publication

(1 citation statement)

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“…A substantial research has been done by many researchers on the usage of Deep Learning and Machine Learning in covid-19 detection [10]. Here, a Deep Learning concept which involves convolutional neural network has been put forth .…”

Section: Introductionmentioning

confidence: 99%

Effective Early Stage Detection of COVID-19 Using Deep Learning

Swetha¹,

Rajendiran²

2021

Advances in Parallel Computing

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The Corona virus Disease 2019 (COVID-19), which was formerly called as 2019 Novel Corona Virus[1] is a breath taking disease. It had its impact on millions of lives across the world. At present, as of March 2021, the rate of infection has declined throughout different parts of the world [2]. But it has been warned by scientists that this deadly disease can have its second wave over a period of time. Also, there is a possibility of this covid-19 to become a seasonal disease [3]. In such case, premature diagnosis of this virus is essential in order to save many lives. A kit called RT-PCR has been employed to detect the presence of this virus [4]. However, this method of prognosis takes time depending on the locality of the infected person [5]. This leads to the proliferation of the infection. Hence, an alternate procedure should be unearthed, which diagnose this disease within a short span of time. In this paper, a Deep Learning concept has been proposed which aids the timely detection of the corona virus infection. This, inturn reduces the spreading rate of the infection and decreases mortality rate.

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Section: Introductionmentioning

confidence: 99%