Covid Prediction Using Machine Learning

Registration ID: IJNRD_180393

Published ID: IJNRD2201010

DOI: http://doi.one/10.1729/Journal.29118

Abhay Chopde , Aditi Kumari , Mahi Ambekar , Siddhi Amilkanthwar , Amit Raj

Covid-19, Machine learning, Prediction, Forecast, Prophet, Time series

The Coronavirus (COVID-19) is spreading throughout the world, reshaping everyday life across the globe. It is one of the fast infectious diseases of the twenty-first century. Technology affects every aspect of daily life swiftly, whether it’s the medical field or any other. In a relatively short period of time, COVID has infected over 250 countries. The disease can be diagnosed quickly and accurately when Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is screened effectively, which reduces the burden on healthcare systems. In epidemic investigations, a variety of Artificial Intelligence (AI) technologies have proven to be effective. In order to evaluate the risk of infection, prediction models that integrate many variables have been developed. These are intended to aid medical personnel around the world in triaging patients, particularly in areas where healthcare resources are scarce. This work describes a machine learning model for the prediction of Covid-19 cases using Python for the upcoming 30 days. These types of predictive models are essential for determining the spread and consequences of infectious diseases.

Published Paper   E-Certificate

Abhay Chopde, Aditi Kumari, Mahi Ambekar, Siddhi Amilkanthwar, & Amit Raj (January-2022). Covid Prediction Using Machine Learning. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(1), 64-67. http://doi.one/10.1729/Journal.29118

Volume 7 Issue 1, January-2022

Pages : 64-67

Paper Reg. ID: IJNRD_180393

Published Paper Id: IJNRD2201010

Downloads: 000121990

Research Area: Engineering

Country: Pune, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2201010.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2201010

Crossref DOI: http://doi.one/10.1729/Journal.29118

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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