The algorithms then look for patterns and figure out which of those symptoms correlate with severe cases of COVID-19.
From this data, we developed a set of algorithms that use predictive analytics to identify early symptoms in the body of a person with COVID-19.
Using data from 53 COVID-19 cases in January and February, we developed a group of algorithms to determine which mildly ill patients were likely become severely ill.
In early January, we realized that it was very possible the new coronavirus in China was going to make its way to New York, and we wanted to develop a tool to help clinicians deal with the incoming surge of cases.
COVID-19 is a new disease, one that doctors haven’t seen before, and signs of an impending severe case are hard to spot.