Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/51692| Título: | Step towards prediction of perineal tear |
| Autor(es): | Fonseca, Francisca Peixoto, Hugo Daniel Abreu Miranda, Filipe Manuel Mota Machado, José Manuel Abelha, António |
| Palavras-chave: | Data Mining Obstetrics Perineal Tear Decision Support Systems |
| Data: | 2017 |
| Editora: | Elsevier |
| Revista: | Procedia Computer Science |
| Resumo(s): | The aim of this study is to predict, through data mining tools, the incidence of perineal tear. This kind of laceration developed during child delivery might imply surgery and entails a set of several consequences. Clinical Decision Support Systems, with the information collected from patients' electronic health records combined with the data mining techniques, may decrease the incidence of perineal tears during labour. |
| Tipo: | Artigo em ata de conferência |
| Descrição: | "International Workshop on Healthcare Interoperability and Pervasive Intelligent Systems (HiPIS 2017)" |
| URI: | https://hdl.handle.net/1822/51692 |
| DOI: | 10.1016/j.procs.2017.08.284 |
| ISSN: | 1877-0509 |
| Arbitragem científica: | yes |
| Acesso: | Acesso aberto |
| Aparece nas coleções: |
