Application of data mining for the prediction of prophylactic measures in patients at risk of deep vein thrombosis
In the last decades, with the increase in the amount of data stored in the healthcare industry, it is also extended the possibility of obtaining important information to support the decision-making process of health professionals. This article has as evidence to apply Data Mining (DM) techniques to...
| Autor principal: | |
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| Outros Autores: | , , , |
| Formato: | conferencePaper |
| Idioma: | eng |
| Publicado em: |
2019
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/1822/65904 |
| País: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/65904 |