… been used for test validations by assessing the difficulty and the discriminative level of a test.
… Bayesian assessment of overtriage and undertriage at a level I trauma centre. Philos Trans …

… (NN), and a naive bayes model (NB). … of under triage and 55 cases of over triage. Mistriage
was caused mostly by mistakes in using the numerical rating scale and incorrect assessment …

… Therefore, it is important that both overtriage and undertriage and their consequences are
taken into account when evaluating the performance of a triage tool. This can be done by …

Purpose – The purpose of this study was to explore an area where recurrent critical decisions
in healthcare are taken, capture decision outcomes and analyse the variance which is …

… Objective:Ambulance over-triage is wasteful and can cause … Data-driven and interpretable
self-triage models, based on a Bayesian … under-triage compared to existing scores; potentially …

… Conclusions: We recommend the use of Naive Bayes (NB) … urgency level decision trees
supporting clinical risk assessment … potentially dangerous under-Triage, and costly over-Triage. …

… overtriaging and 3% undertriaging) of cases compared to doctors 93.1% (2.6% overtriaging
… been asked, the diagnostic model performs the Bayesian inference and ranks the possible …

… We prove that the Bayes type-posterior for a feature vector is … The direct approach chooses
more overtriage of the medium … values of the Bayes posterior leads to under-triage such that …

… The result is high rates of both over- and under-triage [21,22]. … For example, the Babylon
Triage and Diagnostic System, which uses a Bayesian network of primary care medicine, …

… Klinik Healthcare Solutions have made an AI tool that, based on bayesian analysis, …
undertriaging, which is the opposite. One of the reasons for this was that even though overtriaging …