Analyzing electronic health records can be a fast and accurate way to predict risk of death from COVID-19
Hossein Estiri, PhD, is lead author on a study that utilized artificial intelligence to leverage the data compiled in electronic health records to compute individual-level risk scores for death after a COVID-19 infection. Among those predictors at the top of the list for those between the ages of 45-65 were age, history of pneumonia, diabetes … Continue reading “Analyzing electronic health records can be a fast and accurate way to predict risk of death from COVID-19”