The three evaluation systems were (1) a system based on genetic algorithms called BEAGLE, (2) seven different types of Artificial Neural Networks, and (3) a metasystem called MetaNet. The research sought to compare these system's groupings of the alcoholics into light and heavy alcoholics. Light alcoholics were those who drank an equivalent of less than 7 half-pints per day; heavy alcoholics were those who drank an equivalent of more than 7 half-pints per day; Results revealed that the MetaNet system had the best results. The next best results were produced by two Artificial Neural Networks: Squash and Logicon Projection. Results proved that the advanced elaboration data systems used in the social and health areas can be used in prevention programs that aim to reduce the social impact of certain pathologies correlated with different kinds of alcohol dependence. Figures, tables, author biographies and photographs, list of software used, and 14 references (Author abstract modified)