Data analysis of COVID-2019 epidemic using machine learning methods: a case study of India
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ORIGINAL RESEARCH
Data analysis of COVID-2019 epidemic using machine learning methods: a case study of India Ramjeet Singh Yadav1
Received: 25 April 2020 / Accepted: 19 May 2020 Ó Bharati Vidyapeeth’s Institute of Computer Applications and Management 2020
Abstract At this time, COVID-2019 is spreading its foot in the form of a huge epidemic for the world. This epidemic is spreading its foot very fast in India too. One of the World Health Organization states that COVID-2019 is a serious disease that spreads from one person to another at very fast speed through contact routes and respiratory drops. On this day, India and the world should rise to an effective step to analyze this disease and eliminate the effects of this epidemic. In this paper presented, the growing database of COVID-2019 has been analyzed from March 1, 2020, to April 11, 2020, and the next one is predicted for the number of patients suffering from the rising COVID-2019. Different regression analysis models have been utilized for data analysis of COVID-2019 of India based on data stored by Kaggle in between 1 March 2020 to 11 April 2020. In this study, we have been utilized six regression analysis based models namely quadratic, third degree, fourth degree, fifth degree, sixth degree, and exponential polynomial respectively for the COVID-2019 dataset. We have calculated the root mean square of these six regression analysis models. In these six models, the root mean square error of sixth degree polynomial is very less in compared other like quadratic, third degree, fourth degree, fifth degree, and exponential polynomial. Therefore the sixth degree polynomial regression model is very good models for forecasting the next 6 days for COVID-2019 data analysis in India. In this study, we have found that the sixth degree polynomial regression models will help Indian
& Ramjeet Singh Yadav [email protected] 1
Department of Computer Science and Engineering, Ashoka Instutute of Technology and Management, Varanasi, Uttar Pradesh 221007, India
doctors and the Government in preparing their plans in the next 7 days. Based on further regression analysis study, this model can be tuned for forecasting over long term intervals. Keywords Regression analysis models Machine learning Deep learning RMSE COVID-19 Corona virus Spread exposed
1 Introduction The full name of COVID-2019 is the Coronavirus disease of 2019, which has created panic in the whole world today [1, 2]. Novel COVID-2019 has been reported to be the most harmful and dangerous in the world since the 1918 H1N1 influenza epidemic. Based on the report of the World Health Organization, by April 10, 2020, a total of 15,225,252 case reports were filed and a total of 100,075 deaths occurred. Thus, it can be said that COVID-2019 has been spreading very fast since the first December 2020 to till date. Till now COVID-2019 has spread in 172 countries. At present, the highest number of cases has been found in the United States of America (USA). COVID2019 is a terrible contagious disease that resu
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