Stroke DynamiX: Publications on data-driven stroke research
In the Stroke DynamiX project, scientists are developing data-driven methods for modelling and predicting stroke progression using machine learning techniques. Two scientific publications from the project have recently been published: Computers in Biology and Medicine presents an approach to mixed-effects additive Bayesian networks that structurally analyses multicentre clinical data and… Read More »Stroke DynamiX: Publications on data-driven stroke research