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Discovery of Psychoactive Substance Addiction Patterns Based on Information Mining Engineering
Ramón García-Martínez1, Sebastián Martins1, Santiago Bianco1
1Information Systems Research Group, National University of Lanus, Buenos Aires, Argentina.
Abstract:
The evolution of Medical Data Mining has been possible from use of Health Information Systems. In Argentina, consumption of psychoactive substances is quantified through the National Survey on Prevalence of Psychoactive Substance of the National Institute of Statistics and Census. This paper presents the use of Information Mining Engineering as an alternative approach to identifying novel patterns.
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