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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 7 | Month- July 2024
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Paper Title
PREDICTION OF COVID-19 DISEASE USING NEURAL NETWORK ALGORITHM
Authors
Mrs.P.Jasmine Lois Ebenezer, Mrs. S.Cyciliya pearcine christy, S.Saranya
Keywords
Covid 19 prediction, Neural Network
Abstract
The Corona virus disease 2019 (COVID-19) pandemic, which originated in Wuhan China, has had disastrous effects on the global community and has overburdened advanced healthcare systems throughout the world. Globally; over 4,063,525 confirmed cases and 282,244 deaths have been recorded as of 11th May 2020, according to the European Centre for Disease Prevention and Control agency. However, the current rapid and exponential rise in the number of patients has necessitated efficient and quick prediction of the possible outcome of an infected patient for appropriate treatment using AI techniques. This paper proposes a fine-tuned Random Forest model boosted by the Ada Boost algorithm. The model uses the COVID-19 patient's geographical, travel, health, and demographic data to predict the severity of the case and the possible outcome, recovery, or death. The model has an accuracy of 94% on the dataset used.
IJCRT's Publication Details
Unique Identification Number - IJCRT2102518
Paper ID - 203601
Page Number(s) - 4314-4322
Pubished in - Volume 9 | Issue 2 | February 2021
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Mrs.P.Jasmine Lois Ebenezer, Mrs. S.Cyciliya pearcine christy, S.Saranya, "PREDICTION OF COVID-19 DISEASE USING NEURAL NETWORK ALGORITHM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 2, pp.4314-4322, February 2021, Available at :http://www.ijcrt.org/papers/IJCRT2102518.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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