• psychiatric
• predictor
• data mining

The Big Data revolution is spreading worldwide. The data availability is actually the starting point for every type of scientific analysis as well as for the KDD (Knowledge Discovery in Databases) processes. The goal of this analysis is to make the data collection more relevant and useful, in order to help analysts make better decisions. The Data Mining (DM) plays a key role within this analysis, since it helps extract meaningful patterns and underlying knowledge from large data sets. DM techniques are mainly applied to Market Basket Analysis, Risk analysis and Fraud detection. Moreover, their use has recently involved also medicine. The aim of this dissertation is to assess the data mining tools in the medical field, in particular in the psychiatric one, in order to develop a DSS (Decision Support System) for the medical diagnosis (decisions).