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Tesi etd-03282017-230102


Thesis type
Tesi di laurea magistrale
Author
RUSSO, RAFFAELLA
URN
etd-03282017-230102
Title
"Data mining based predictor for the diagnosis of psychiatric disorders"
Struttura
FILOLOGIA, LETTERATURA E LINGUISTICA
Corso di studi
INFORMATICA UMANISTICA
Supervisors
relatore Prof. Turini, Franco
Parole chiave
  • data mining
  • predictor
  • psychiatric
Data inizio appello
28/04/2017;
Consultabilità
Parziale
Data di rilascio
28/04/2020
Riassunto analitico
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.)
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