Author: Saha, S.; Neogy, S.
Title: A Comparative Study of Machine Learning and Deep Learning for Prediction of COVID-19 Cord-id: w1pnvc0a Document date: 2021_1_1
ID: w1pnvc0a
Snippet: In December 2019, a novel coronavirus was found in Wuhan, China. The disease spread due to it was named COVID-19 (Coronavirus Disease 2019). Since then, more than 28 lakh people have been affected worldwide by the virus at the time of writing this paper. The virus has claimed the lives of close to 2 lakh people. It has also affected the lives and livelihoods of millions of people around the globe. Thus it is important to predict and analyse how the disease will affect us in the future. This work
Document: In December 2019, a novel coronavirus was found in Wuhan, China. The disease spread due to it was named COVID-19 (Coronavirus Disease 2019). Since then, more than 28 lakh people have been affected worldwide by the virus at the time of writing this paper. The virus has claimed the lives of close to 2 lakh people. It has also affected the lives and livelihoods of millions of people around the globe. Thus it is important to predict and analyse how the disease will affect us in the future. This work uses various machine learning and deep learning models to predict the number of COVID-19 cases in the near future and compare the accuracies of the different results thus obtained. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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