Article

Performance Drift in a Mortality Prediction Algorithm during the SARS-CoV-2 Pandemic

2022-03-01

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Research Objective</h4> Health systems use clinical predictive algorithms to allocate resources to high-risk patients. Such algorithms are trained using historical data and are later implemented in clinical settings. During this implementation period, predictive algorithms are prone to performance changes (“drift”) due to exogenous shocks in utilization or shifts in patient characteristics. O...

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Literature Corpus work: 9547388d-4688-5ed3-964b-3fd32bc7a66f
DOI: 10.1101/2022.02.28.22270996

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