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Exploiting causal functional relationships in Bayesian network modelling for personalised healthcare
2014
International Journal of Approximate Reasoning
Bridging the gap between the theory of Bayesian networks and solving an actual problem is still a big challenge and this is in particular true for medical problems, where such a gap is clearly evident. We argue that Bayesian networks offer appropriate technology for the successful modelling of medical problems, including the personalisation of healthcare. Personalisation is an important aspect of remote disease management systems. It involves the forecasting of progression of a disease based on
doi:10.1016/j.ijar.2013.03.016
fatcat:6f3tfsizc5btpe7nz3fdhspksy