Mount Sinai researchers have published one of the first studies using federated learning to examine electronic health records to better predict how COVID-19 patients will progress.
11:31 AM
Researchers at Mount Sinai in New York see promise in new machine learning models they ve developed that can assess – within key windows of time – the risk of certain adverse clinical events in some COVID-19 patients.
WHY IT MATTERS
Research published earlier this month in the
Journal of Medical Internet Research describes how the algorithms are enabling better insights into potential risks for a diverse group of COVID-19 patients.
Researchers at Mount Sinai s Icahn School of Medicine and Hasso Plattner Institute for Digital Health gathered electronic health record data from more than 4,000 adult patients admitted to five Mount Sinai Health System hospitals from this spring, during the pandemic s first wave.