Bayesian Modelling in Practice: Using Uncertainty to Improve Trustworthiness in Medical Applications

1 code implementation • 20 Jun 2019 • David Ruhe, Giovanni Cinà, Michele Tonutti, Daan de Bruin, Paul Elbers

In this work we show how Bayesian modelling and the predictive uncertainty that it provides can be used to mitigate risk of misguided prediction and to detect out-of-domain examples in a medical setting.

BIG-bench Machine Learning Decision Making