University of Toledo students create predictive model for COVID 19 hospital stays

October 8, 2020 | UToledo in the News, Engineering
By Tyrel Linkhorn

Mohammadreza Nemati, doctoral student in the Toledo Department of Electrical Engineering and Computer Science, and Jamal Ansary, a mechanical engineering graduate student, built precise predictive models able to forecast with 70% accuracy the recovery time of hospitalized COVID-19 patients based on their age and sex.