Bayesian network

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Bayesian network

A form of artificial intelligence—named for Bayes’ theorem—which calculates probability based on a group of related or influential signs. Once a Bayesian network AI is taught the symptoms and probable indicators of a particular disease, it can assess the probability of that disease based on the frequency or number of signs in a patient.
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More complex interactions between predictors may be represented by augmented naive Bayes networks by allowing directed edges (probabilistic dependencies) between predictors, dispensing with the strong independence assumption of naive Bayes.
We are excited to see this technology, which is based on our long-time experience in bayes networks and statistical models, being successfully applied in the biomedical field and opening new approaches for the better understanding of complex diseases," says Prof.