A Data Mining Approach to Identify Sexuality Patterns in a Brazilian University Population.
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.
Research Group in Information and Communications Technology in Health, UNESC, Criciúma, SC, Brazil.
Priscyla
P
Waleska Simões
Research Group in Information and Communications Technology in Health, UNESC, Criciúma, SC, Brazil.
Samuel
S
Cesconetto
Research Group in Information and Communications Technology in Health, UNESC, Criciúma, SC, Brazil.
Larissa Letieli
LL
Toniazzo de Abreu
Research Group in Information and Communications Technology in Health, UNESC, Criciúma, SC, Brazil.
Merisandra
M
Côrtes de Mattos Garcia
Research Group in Information and Communications Technology in Health, UNESC, Criciúma, SC, Brazil.
José Márcio
JM
Cassettari Junior
Universidade Federal de Santa Catarina, Florianópolis, SC, Brazil.
Eros
E
Comunello
Postgraduate Program in Public Health, UNESC, Criciúma, SC, Brazil.
Luciane
L
Bisognin Ceretta
Research Group in Information and Communications Technology in Health, UNESC, Criciúma, SC, Brazil.
Sandra
S
Aparecida Manenti
D000163:Acquired Immunodeficiency Syndrome / Q000453:epidemiology; D000293:Adolescent; D000328:Adult; D001938:Brazil / Q000453:epidemiology; D057225:Data Mining / Q000379:methods*; D016208:Databases, Factual / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D000069550:Machine Learning; D008297:Male; D009323:Natural Language Processing; D011159:Population Surveillance / Q000379:methods; D015995:Prevalence; D018570:Risk Assessment / Q000379:methods; D019529:Sexuality / Q000706:statistics & numerical data*; D012749:Sexually Transmitted Diseases / Q000453:epidemiology*; D013334:Students / Q000706:statistics & numerical data*; D014495:Universities / Q000706:statistics & numerical data*; D014754:Violence / Q000706:statistics & numerical data; D035862:Vulnerable Populations / Q000706:statistics & numerical data; D055815:Young Adult