Abstract
The domain medical and public health remains the principal preoccupation of all world population. It makes recourse at several means from various disciplines, including for instance epidemiology, to help clinicians in decision processes. This paper p roposes an Assistance Platform for Epidemiological Searches and Surveillance (APESS) for service-oriented data min ing in the field of epidemiology. The main aim of the present platform is to build a system that enables extract ing predictive ru les, flexib le and scalable for aid in decision-making by trades’ experts. Results showed that the current system provides prediction models of chronic d iseases (epidemio logical prediction ru les), using classification algorithms.
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