Using real world, serial data from the electronic health records of 3500 confirmed COVID positive pateints at UHB, researchers at the University of Birmingham will:
-increase the predictive power of clinical outcome for patients with Covid-19 based on incorporation of laboratory values into risk analyses using random forest modelling
-reveal novel biological insights into the pathogenesis of the disease by assessment of the significant of laboratory variables in isolation and also in relation to other values
-increase, and potentially contribute to, the scale and power of the team undertaking clinical informatic research on Covid-19 within BHP
Original content: https://web.www.healthdatagateway.org/project/29837117655204024
