Abstract-The domain med ical and public health remains the principal preoccupation of all world population. It makes recourse at several means fro m various disciplines, including for instance epidemiology, to help clinicians in decision processes. This paper p roposes an Assistance Platform fo r 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.
Sabri and Rahal REF proposed a platform for serviceoriented data mining to build a system that enables data extraction through predictive rules which produces a flexible and scalable system to aid in decision-making.
APESS - A Service-Oriented Data Mining Platform: Application for Medical Sciences
International Journal of Information Technology and Computer Science
Computer Science