Anita W. Elbers

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Presence of a classical swine fever (CSF) infection is usually first revealed by the occurrence of clinical signs. In order to supply veterinary practitioners with an additional tool to identify CSF suspect situations as early as possible, a decision-support system is being developed with the help of experts in the field of CSF. The system builds upon a(More)
For diseases of which the clinical diagnosis is uncertain, naive Bayesian classifiers can be of assistance to the veterinary practitioner. These simple probabilistic models have proven to be very powerful for solving classification problems in a variety of domains, but are not yet widely applied within the veterinary domain. In this paper, naive Bayesian(More)
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