2023
DOI: 10.1101/2023.12.13.23299899
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Safe and reliable transport of prediction models to new healthcare settings without the need to collect new labeled data

Rudraksh Tuwani,
Andrew Beam

Abstract: How can practitioners and clinicians know if a prediction model trained at a different institution can be safely used on their patient population? There is a large body of evidence showing that small changes in the distribution of the covariates used by prediction models may cause them to fail when deployed to new settings. This specific kind of dataset shift, known as covariate shift, is a central challenge to implementing existing prediction models in new healthcare environments. One solution is to collect a… Show more

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