Predict the Covid-19 using Machine Learning Model from a Symptoms of the Body

Prof. Sudeshna Roy; Mr. Umesh R Maurya

Title:
Predict the Covid-19 using Machine Learning Model from a Symptoms of the Body

Authors:
Mr. Umesh R Maurya | Prof. Sudeshna Roy

Cite This Article :

Mr. Umesh R Maurya | Prof. Sudeshna Roy "Predict the Covid-19 using Machine Learning Model from a Symptoms of the Body" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-5, August 2020, pp.1714-1718, URL: https://www.ijtsrd.com/papers/ijtsrd33226.pdf

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Abstract :
Among the trendy fashions for COVID-19 international pandemic prediction, easy epidemiological and statistical fashions have acquired extra interest by using authorities, and they are famous in the media. Due to a excessive stage of uncertainty and lack of quintessential data, fashionable fashions have proven low accuracy for long-term prediction. This paper gives a signs and symptoms evaluation of computer studying to predict the COVID-19. Among a large vary of computing device getting to know fashions Based on the effects suggested here, and due to the surprisingly complicated nature of the COVID-19 outbreak and version in its behaviour from nation-to-nation, this learn about suggests desktop getting to know as an advantageous device to mannequin the outbreak. This paper affords an preliminary benchmarking to exhibit the conceivable of computer gaining knowledge of for future research.

Keywords :
COVID-19, International Pandemic, Long-Term Prediction, Outbreak, Benchmarking, Complicated, Future Research

Publication Details:

Unique Identification Number : IJTSRD33226

Published In : Volume-4 | Issue-5, August 2020

Page Number(s) : 1714-1718

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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