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This paper describes the development of a Bayesian model for diagnosis of patients suspected of Lyme disease, and the integration of such a model into a medical information system. A Bayesian network incorporating the clinical history and laboratory results has been constructed. Because many of the symptoms are not exclusive to Lyme disease and they develop(More)
Lyme disease is an infection evolving in three stages. Lyme disease is characterised by a number of symptoms whose manifestations evolve over time. In order to correctly classify the disease it is important to include the clinical history of the patient. Consultations are typically scattered at non-equidistant points in time and the probability of observing(More)
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