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Cite this DOI

10.46243/jst.2020.v5.i5.pp237-239 · Role of Artificial Intelligence In Detection of COVID-19: A Review

APA (7th edition)

Longman Publishers (2020). Role of Artificial Intelligence In Detection of COVID-19: A Review. *Journal of Science & Technology*, 237–239. https://doi.org/10.46243/jst.2020.v5.i5.pp237-239

⬇ text Italics are shown as *asterisks* in plain text — the journal or book title and the volume.

BibTeX

@article{anon2020role,
  title     = {{Role of Artificial Intelligence In Detection of COVID-19: A Review}},
  journal   = {Journal of Science \& Technology},
  year      = {2020},
  month     = {oct},
  number    = {Volume 5},
  pages     = {237--239},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2020.v5.i5.pp237-239},
  url       = {https://doi.org/10.46243/jst.2020.v5.i5.pp237-239},
  language  = {en},
  abstract  = {The corona virus is world’s pandemic disease originated in China 2019 thus called Corona Virus Disease 2019 (COVID-19). It surprised the world with its rapid spread and had major impact on human life as well as on global market. The fundamental solution to control the rapid spread of disease is social distance and home quarantine, but no one can stay at leisure for longer time. Thus, we have to live with COVID-19 by preventing ourselves. Symptomatic patients were called to test for COVID-19 immediately and will be quarantined. But asymptomatic patients become strange for the society today. To overcome this issue some intelligent system test is essential. Collection of patients sample itself is a risky. Thus, in preliminary step, Artificial Intelligence (AI) plays a vital role for detection of COVID-19. If the process of detection include an Artificial Intelligence it becomes easier for corona warriors to take necessary action on this pandemic and can able to detect disease at the earliest. Thus, in this article we have reviewed role of Artificial Intelligence in detection of COVID -19. The review resulted as there is urgent need of developing AI-based system for early detection, tracking and quantification of corona virus patients to save the world from this pandemic disease.}
}

⬇ .bib

RIS (EndNote, Zotero, Mendeley)

TY  - JOUR
TI  - Role of Artificial Intelligence In Detection of COVID-19: A Review
JO  - Journal of Science & Technology
PY  - 2020
DA  - 2020/10/17/
IS  - Volume 5
SP  - 237
EP  - 239
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - The corona virus is world’s pandemic disease originated in China 2019 thus called Corona Virus Disease 2019 (COVID-19). It surprised the world with its rapid spread and had major impact on human life as well as on global market. The fundamental solution to control the rapid spread of disease is social distance and home quarantine, but no one can stay at leisure for longer time. Thus, we have to live with COVID-19 by preventing ourselves. Symptomatic patients were called to test for COVID-19 immediately and will be quarantined. But asymptomatic patients become strange for the society today. To overcome this issue some intelligent system test is essential. Collection of patients sample itself is a risky. Thus, in preliminary step, Artificial Intelligence (AI) plays a vital role for detection of COVID-19. If the process of detection include an Artificial Intelligence it becomes easier for corona warriors to take necessary action on this pandemic and can able to detect disease at the earliest. Thus, in this article we have reviewed role of Artificial Intelligence in detection of COVID -19. The review resulted as there is urgent need of developing AI-based system for early detection, tracking and quantification of corona virus patients to save the world from this pandemic disease.
DO  - 10.46243/jst.2020.v5.i5.pp237-239
UR  - https://doi.org/10.46243/jst.2020.v5.i5.pp237-239
ER  -

⬇ .ris

CSL-JSON

{
    "type": "article-journal",
    "id": "10.46243/jst.2020.v5.i5.pp237-239",
    "DOI": "10.46243/jst.2020.v5.i5.pp237-239",
    "URL": "https://doi.org/10.46243/jst.2020.v5.i5.pp237-239",
    "title": "Role of Artificial Intelligence In Detection of COVID-19: A Review",
    "source": "Smart Scholars DOI Registry",
    "container-title": "Journal of Science & Technology",
    "issued": {
        "date-parts": [
            [
                2020,
                10,
                17
            ]
        ]
    },
    "issue": "Volume 5",
    "page": "237-239",
    "publisher": "Longman Publishers",
    "language": "en",
    "abstract": "The corona virus is world’s pandemic disease originated in China 2019 thus called Corona Virus Disease 2019 (COVID-19). It surprised the world with its rapid spread and had major impact on human life as well as on global market. The fundamental solution to control the rapid spread of disease is social distance and home quarantine, but no one can stay at leisure for longer time. Thus, we have to live with COVID-19 by preventing ourselves. Symptomatic patients were called to test for COVID-19 immediately and will be quarantined. But asymptomatic patients become strange for the society today. To overcome this issue some intelligent system test is essential. Collection of patients sample itself is a risky. Thus, in preliminary step, Artificial Intelligence (AI) plays a vital role for detection of COVID-19. If the process of detection include an Artificial Intelligence it becomes easier for corona warriors to take necessary action on this pandemic and can able to detect disease at the earliest. Thus, in this article we have reviewed role of Artificial Intelligence in detection of COVID -19. The review resulted as there is urgent need of developing AI-based system for early detection, tracking and quantification of corona virus patients to save the world from this pandemic disease.",
    "ISSN": "2456-5660"
}

⬇ .json What citeproc and reference managers read; the DOI system hands it out for Accept: application/vnd.citationstyles.csl+json, and so does this registry's resolver.

From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjst.2020.v5.i5.pp237-239 gives all four in one JSON answer.

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