Citation

Waleska Simões P, Cesconetto S, Toniazzo de Abreu LL, Côrtes de Mattos Garcia M, Cassettari Junior JM, Comunello E, Bisognin Ceretta L, Aparecida Manenti S. Stud. Health Technol. Inform. 2015; 216: 1074.

Affiliation

Research Group in Information and Communications Technology in Health, UNESC, Criciúma, SC, Brazil.

Copyright

(Copyright © 2015, IOS Press)

DOI

unavailable

PMID

26262373

Abstract

This paper presents the profile and experience of sexuality generated from a data mining classification task. We used a database about sexuality and gender violence performed on a university population in southern Brazil. The data mining task identified two relationships between the variables, which enabled the distinction of subgroups that better detail the profile and experience of sexuality. The identification of the relationships between the variables define behavioral models and factors of risk that will help define the algorithms being implemented in the data mining classification task.

Language: en