Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.3233/978-1-61499-830-3-1287 | Studies in Health Technology and Informatics |
Keywords | Field | DocType |
Contraception,Data Mining,Medical Informatics | Medical education,Computer science | Conference |
Volume | ISSN | Citations |
245 | 0926-9630 | 0 |
PageRank | References | Authors |
0.34 | 0 | 10 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Priscyla Waleska Simões | 1 | 0 | 0.68 |
| Samuel Cesconetto | 2 | 0 | 0.34 |
| Eduardo Daminelli Dalló | 3 | 0 | 0.34 |
| maria marlene de souza pires | 4 | 1 | 1.06 |
| Eros Comunello | 5 | 66 | 15.04 |
| Felipe Borges Tomaz | 6 | 0 | 0.68 |
| Eduardo Pícolo Xavier | 7 | 0 | 0.34 |
| Pedro Antonio da Rosa Brunel Alves | 8 | 0 | 0.34 |
| Luciane Bisognin Ceretta | 9 | 0 | 1.69 |
| Sandra Aparecida Manenti | 10 | 0 | 0.34 |