Mortality Risk Prediction from Dense PICU Data from Patients with Suspected Infection: Data-Derived Physiological Trajectories Outperform Expert Assessments When Temporal Resolution Is High.
Velez T; Badaki-Makun O; Hirsch D; Mercurio DC; Depinet H; Dewan M; Kamaleswaran R; Grunwell J · 2026 · International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Objective Early identification of mortality risk in critically ill children with suspected infection remains challenging. Whether severity scores (SIRS, pSOFA, Phoenix) add incremental value beyond data-derived physiologic features in…
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Metadata source: Europe PMC · DOI 10.1016/j.ijid.2026.108899