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Integrating BAC in Trauma ML Models by Eugeniu Coretchi is a document available to read on EtoBox.

This article reviews the role of Blood Alcohol Concentration (BAC) as a predictive factor in machine learning models for trauma severity, highlighting its significant impact on outcomes like ICU admission and mortality. Despite its importance, BAC is often underutilized in existing trauma scoring systems, which can limit the effectiveness of predictive models. The authors advocate for the systematic integration of BAC data into trauma care algorithms and further validation of these models in clinical settin

Author

Eugeniu Coretchi

Language

EN