Abstract
Due to the uncertain nature of many of the factors that influence on the performance of an emergency medical service, we propose using Bayesian networks to model this kind of systems. We use an algorithm for learning Bayesian networks to build the model, from the point of view of a hospital manager, and apply it to the specific case of a spanish hospital. We also report the results of some preliminary experimentation with the model.
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Acid, S., de Campos, L.M., Rodríguez, S., Rodríguez, J.M., Salcedo, J.L. (2001). Using Bayesian Networks to Model Emergency Medical Services. In: Crespo, J., Maojo, V., Martin, F. (eds) Medical Data Analysis. ISMDA 2001. Lecture Notes in Computer Science, vol 2199. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45497-7_4
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DOI: https://doi.org/10.1007/3-540-45497-7_4
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