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Data Mining Applied to Analysis of Contraceptive Methods Among College Students. 2017
Priscyla Waleska Simões, and
Samuel Cesconetto, and
Eduardo Daminelli Dalló, and
Maria Marlene de Souza Pires, and
Eros Comunello, and
Felipe Borges Tomaz, and
Eduardo Pícolo Xavier, and
Pedro Antonio da Rosa Brunel Alves, and
Luciane Bisognin Ceretta, and
Sandra Aparecida Manenti
Grupo de Pesquisa em Tecnologia da Informação e Comunicação na Saúde, Universidade do Extremo Sul Catarinense, Brazil.
The aim of this study was to use the Data Mining to analyze the profile of the use of contraceptive methods in a university population. We used a database about sexuality performed on a university population in southern Brazil. The results obtained by the generated rules are largely in line with the literature and epidemiology worldwide, showing significant points of vulnerability in the university population. Validation measures of the study, as such, accuracy, sensitivity, specificity, and area under the ROC curve were higher or at least similar as compared to recent studies using the same methodology.
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