International Journal of Information Technology and Computer Science (IJITCS)
IJITCS Vol. 8, No. 7, 8 Jul. 2016
Cover page and Table of Contents: PDF (size: 583KB)
APESS - A Service-Oriented Data Mining Platform: Application for Medical Sciences
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Author(s)
Index Terms
Knowledge Discovery, Services Oriented Architecture (SOA), Web Services, Data Warehouse, Data Mining, Rules Discovery, Medical sciences
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 proposes an Assistance Platform for Epidemiological Searches and Surveillance (APESS) for service-oriented data mining in the field of epidemiology. The main aim of the present platform is to build a system that enables extracting predictive rules, flexible and scalable for aid in decision-making by trades' experts. Results showed that the current system provides prediction models of chronic diseases (epidemiological prediction rules), using classification algorithms.
Cite This Paper
Mohammed Sabri, Sidi Ahmed Rahal, "APESS - A Service-Oriented Data Mining Platform: Application for Medical Sciences", International Journal of Information Technology and Computer Science(IJITCS), Vol.8, No.7, pp.36-42, 2016. DOI:10.5815/ijitcs.2016.07.06
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