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BAYESIAN DIAGNOSIS OF PULMONARY EMBOLISM
Bayes theorem provides a mathematical way of integrating new diagnostic information to allow us to appropriately alter our estimates of the probability of disease. It sounds complicated, but it’s what we all do when we examine and investigate patients to build up a diagnosis. However, whereas humans are prone to errors in this process, computers do it with remorseless logic. Luciani and colleagues used data from the PIAS-PED study to develop BayPED, an evidence-based expert system focussed upon diagnosis of pulmonary embolism, and …
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