Why carry out this study?

Traditional risk prediction models are limited to identifying the condition of an asymptomatic patient who deteriorates from mild to moderate or extremely severe risk of COVID-19 at triage

Existing disease risk assessment models were developed with limited size data sets, input variables, and unstandardized independent features without specific machine learning algorithms

What was learned from the study?

This prediction model, trained with patient-generated health data (PGHD) from nationwide COVID-19 screening centers, can be globally utilized to monitor hospitalized or quarantined patients with confirmed SARS-CoV-2 infection daily

This risk assessment model, developed with multivariable factors like demographic, geographic, and clinical characteristics of a superior performance, can be successfully deployed to triage patients with COVID-19