Researchers at the University of California, Irvine (UCI) are also leveraging analytics tools to predict patient outcomes from the virus. A team of health sciences investigators recently developed a machine learning model to predict the likelihood that a COVID-19 patient will need a ventilator or ICU care. Using a patient’s medical history, the tool can determine whether a patient’s condition will worsen within 72 hours, and is freely available online for any healthcare organization to use. Researchers found that at UCI Health, the tool’s predictions were accurate about 95 percent of the time.
AI, machine learning tools help predict COVID-19 outcomes
Health IT Analytics, Dec. 21, 2020
December 21, 2020