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Local retraining mitigates domain shift in sepsis prediction: Lessons from translating a neonatal model to mixed intensive care data

2026-08-21

Abstract excerpt

<h4>Background: </h4> Machine learning models leveraging electronic health records (EHRs) can support earlier detection of sepsis in intensive care units (ICUs). However, their clinical utility depends on reproducibility across institutions and patient populations. Building on a published pipeline from the Children's Hospital of Philadelphia (CHOP), this study examines how a neonatal sepsis prediction framework pe...

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Literature Corpus work
f52cb49d-7433-58ce-8281-2aba948f92cf
DOI
10.64898/2026.08.18.26360666
Open publication

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Local retraining mitigates domain shift in sepsis prediction: Lessons from translating a neonatal model to mixed intensive care dataDOI 10.64898/2026.08.18.26360666
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