The advanced machine learner XGBoost did not reduce prehospital trauma mistriage compared with logistic regression: a simulation study
Anna Larsson; Johanna Berg; Mikael Gellerfors; Martin Gerdin Wärnberg · 2021 · BMC Medical Informatics and Decision Making
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)
Abstract Background Accurate prehospital trauma triage is crucial for identifying critically injured patients and determining the level of care. In the prehospital setting, time and data are often scarce, limiting the complexity of triage…
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Metadata source: Crossref · DOI 10.1186/s12911-021-01558-y