Real-time prediction of COVID-19 related mortality using electronic health records

Real-time prediction of COVID-19 related mortality using electronic health records

Stefan Bauer, Patrick Schwab, Arash Mehrjou, Sonali Parbhoo, Leo Anthony Celi, Jürgen Hetzel, Markus Hofer, Bernhard Schölkopf

Identifying COVID-19 patients with the highest mortality risk early is critical to enable effective intervention and optimal prioritisation of care. Here, the authors present a clinical risk scoring system trained on a large data set of patients from 69 healthcare institutions in multiple countries.

2021

10.1038/s41467-020-20816-7

Epidemiology and Health

Korean Society of Epidemiology

Science