Feb. 15, 2022
LLNL team models COVID-19 disease progression and identifies risk factors
Jeremy Thomas/LLNL
An LLNL team has developed a comprehensive dynamic model of COVID-19 disease progression in hospitalized patients, finding that risk factors for complications from the disease are dependent on the patient’s disease state. Using a machine learning algorithm on a dataset of electronic health records from more than 1,300 hospitalized COVID-19 patients with ProMedica — the largest health care system in northwestern Ohio and southeastern Michigan — the team classified patients into “moderate” or “severe” states and tracked disease trajectory as patients moved through different risk states during hospitalization. Read more at LLNL News.