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.
CITATION STYLE
Acid, S., de Campos, L. M., Rodríguez, S., Rodríguez, J. M., & Salcedo, J. L. (2001). Using bayesian networks to model emergency medical services. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2199, pp. 28–34). Springer Verlag. https://doi.org/10.1007/3-540-45497-7_4
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