Machine learning algorithms performed no better than regression models for prognostication in traumatic brain injury
Benjamin Gravesteijn; Daan Nieboer; Ari Ercole; Hester F. Lingsma; David Nelson; Ben Van Calster; Ewout W. Steyerberg; Cecilia Åkerlund · 2020 · Journal of Clinical Epidemiology
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: We aimed to explore the added value of common machine learning (ML) algorithms for prediction of outcome for moderate and severe traumatic brain injury. STUDY DESIGN AND SETTING: We performed logistic regression (LR), lasso…
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Metadata source: OpenAlex · DOI 10.1016/j.jclinepi.2020.03.005