Machine learning model from the largest US COVID-19 dataset predicts disease severity
A centralized repository of COVID-19 health records built last year is beginning to show results, starting with a new paper published today. The repository is the largest set of COVID-19 records to date, and was built by a team of researchers and data experts last year to help make sense of COVID-19.
The study, published in the journal JAMA Network Open, looked at risk factors for severe cases of COVID-19 and traced the progression of the disease over time. The authors built machine learning models to predict which hospitalized patients would develop severe disease based on information collected on their first day in a hospital.
Using the centralized database, called the National COVID Cohort Collaborative Data Enclave, or N3C, meant…