Article

Falsification Testing of Sepsis Prediction Models: Evaluating Independent Biological Signal After Controlling for Care-Process Intensity

2026-03-18

Abstract excerpt

<h4>Background</h4> Automated sepsis early-warning systems have attracted substantial research investment, yet a fundamental question remains unresolved: do these models detect independent biological signals, or do they predominantly learn care-process intensity — the pattern of clinician ordering behavior applied to patients already suspected of being ill? We report a pre-registered falsification study testing t...

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Literature Corpus work: 1bddc278-fcda-564b-ba98-1f301a8e13a2
DOI: 10.64898/2026.03.17.26348414

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