Health IT Analytics June 29, 2020
Using data collected from around the world, researchers have built predictive analytics models that can track COVID-19 surges in different countries.
Researchers from Binghamton University, State University of New York have developed several predictive analytics models to examine COVID-19 trends and patterns around the world.
The machine learning algorithms analyze trends from the 50 countries that have the highest COVID-19 rates, including the US, and can often predict within a ten percent margin of error what will happen for the next three days based on data from the past 14 days.
“We believe that the past data encodes all of the necessary information,” said Anand Seetharam, assistant professor in the department of computer science at Binghamton University.
“These infections have...
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