Expert-rule Bayesian network fusing vision model outputs raises physiological assessment accuracy from 15-19% to 42-46% and overall triage accuracy from 14% to 53% in DARPA field scenarios while expanding coverage to 95% of cases.
Evolution and challenges in the design of computational systems for triage assistance.Journal of biomedical informatics, 41(3):432–441, 2008
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Multimodal Bayesian Network for Robust Assessment of Casualties in Autonomous Triage
Expert-rule Bayesian network fusing vision model outputs raises physiological assessment accuracy from 15-19% to 42-46% and overall triage accuracy from 14% to 53% in DARPA field scenarios while expanding coverage to 95% of cases.