Abstract
COVID-19 Pandemic: Application of Machine Learning Time Series Analysis for Prediction of Human Future
Highlights
Coronavirus, which has killed millions of people throughout, is constantly taking people under its arrest
In the ARIMA model, utilizing grid search, we recognized a lot of boundaries that delivered the best-fit model for our time series data
Future predictions of death cases indicate that the number of deaths will increased by more than 600,000 by January 2020
Summary
Coronavirus, which has killed millions of people throughout, is constantly taking people under its arrest. Coronaviruses are an enormous group of infections like Middle East Respiratory Syndrome (MERS) and Severe Acute Respiratory Syndrome (SARS) which may cause ailment in creatures or people. A few Coronaviruses are known to cause respiratory contaminations going from the basic virus to increasingly extreme infections. The most as of late found Coronavirus causes Coronavirus infection COVID–19. The basic symptoms for covid–19 include fever, exhaustion, brevity of breath, and failure of smell and flavor. Further there will be progress in severe respiratory disease (ARDS), multiple organ failure, septic syncope and blood clots. The increase of COVID–19 is mainly due to the small water droplets generated by the contact of nearby people with others and the personal hackers who breathe contaminated individuals, sniffing, talking or singing. Some clinical strategies are responsible and result in the infection being transmitted more effectively than typical
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