Personalized stratification of hospitalization risk amidst COVID-19: A machine learning approach.

ABSTRACT: Objective: In the wake of COVID-19, the United States (U.S.) developed a three stage plan to outline the parameters to determine when states may reopen businesses and ease travel restrictions. The guidelines also identify subpopulations of Americans deemed to be at high risk for severe disease should they contract COVID-19. These guidelines were based on population level demographics, rather than individual-level risk factors. As such, they may misidentify individuals at high risk for severe illness, and may therefore be of limited use in decisions surrounding resource allocation to vulnerable populations. The objective of this study was to evaluate a machine learning algorithm for prediction of serious illness due to COVID-19 using inpatient data collected from electronic health re

SUBMITTER: Lam C 

PROVIDER: S-EPMC8333026 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature