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Observation-process features are associated with larger domain shift in sepsis mortality prediction: a cross-database evaluation using MIMIC-IV and eICU-CRD

2026-04-06

Abstract excerpt

Clinical prediction models for sepsis frequently degrade when applied outside the development setting. Electronic health record data encode not only patient physiology but also observation processes such as measurement timing and frequency, which may be predictive within a site but unstable across sites. The contribution of these observation-process features to cross-site performance degradation has not been quant...

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Literature Corpus work
be0ba9bc-db72-5bc9-ac9e-7dab4b933538
DOI
10.64898/2026.04.05.26350209
Open publication

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Observation-process features are associated with larger domain shift in sepsis mortality prediction: a cross-database evaluation using MIMIC-IV and eICU-CRDDOI 10.64898/2026.04.05.26350209
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