UC–Irvine Develops Online Tool to Help Predict Patients’ COVID-19 Severity

A student crosses a walkway on the University of California–Irvine campus in Irvine, Calif., on Sept. 25, 2020. John Fredricks/The Epoch Times

Researchers at the University of California–Irvine have developed a tool that detects which COVID-19 patients are likely to need ventilators or intensive-care (ICU) treatment.

The machine-learning model—which is being offered online free to health care organizations—uses patients’ medical histories to determine which COVID-19 sufferers should be sent home and which will need critical care.