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.
Extending the range of symptoms in a Bayesian Network for the Predictive Diagnosis of COVID-19.medRxiv, pages 2020–10, 2020
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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.