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Diagnosing and remediating harmful data shifts for the responsible deployment of clinical AI models

2023-03-29

Abstract excerpt

Harmful data shifts occur when the distribution of data used to train a clinical AI system differs significantly from the distribution of data encountered during deployment, leading to erroneous predictions and potential harm to patients. We evaluated the impact of data shifts on an early warning system for in-hospital mortality that uses electronic health record data from patients admitted to a general internal m...

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Identifiers and source

Literature Corpus work
375b012d-e700-56ad-9a3c-4fdfc8c173c4
DOI
10.1101/2023.03.26.23286718
Open publication

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Diagnosing and remediating harmful data shifts for the responsible deployment of clinical AI modelsDOI 10.1101/2023.03.26.23286718
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