Please use this identifier to cite or link to this item:
http://hdl.handle.net/10071/16609Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Gonçalves, F. | - |
| dc.contributor.author | Pereira, R. | - |
| dc.contributor.author | Ferreira, J. | - |
| dc.contributor.author | Vasconcelos, J. B. | - |
| dc.contributor.author | Melo, F. | - |
| dc.contributor.author | Velez, I. | - |
| dc.date.accessioned | 2018-09-14T09:47:00Z | - |
| dc.date.available | 2018-09-14T09:47:00Z | - |
| dc.date.issued | 2018 | - |
| dc.identifier.issn | 1819-9224 | - |
| dc.identifier.uri | http://hdl.handle.net/10071/16609 | - |
| dc.description.abstract | The Emergency Departments (ED) are a complex and important area of a hospital. With limited resources, it is mandatory to focus on efficiency. When hospitals are unable to deal with high demand, problems may rise leading to longer waiting times and more dissatisfaction. In this research, the authors extracted knowledge from a hospital ED, through data analysis and data mining, applying Random Forest and Naïve Bayes to study the ED patient waiting time and diseases. | eng |
| dc.language.iso | eng | - |
| dc.publisher | International Association of Engineers | - |
| dc.relation | UID/MULTI/4466/2016 | - |
| dc.relation | UID/MULTI/0446/2013 | - |
| dc.rights | openAccess | - |
| dc.subject | Big data | eng |
| dc.subject | Data mining | eng |
| dc.subject | Emergency department | eng |
| dc.subject | Healthcare | eng |
| dc.title | Emergency waiting times data analysis | eng |
| dc.type | article | - |
| dc.event.date | 2018 | - |
| dc.pagination | 494 - 499 | - |
| dc.peerreviewed | yes | - |
| dc.journal | IAENG International Journal of Computer Science | - |
| dc.volume | 45 | - |
| dc.number | 3 | - |
| degois.publication.firstPage | 494 | - |
| degois.publication.lastPage | 499 | - |
| degois.publication.issue | 3 | - |
| degois.publication.title | Emergency waiting times data analysis | eng |
| dc.date.updated | 2018-09-14T10:46:44Z | - |
| dc.description.version | info:eu-repo/semantics/publishedVersion | - |
| dc.subject.fos | Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação | por |
| iscte.identifier.ciencia | https://ciencia.iscte-iul.pt/id/ci-pub-49750 | - |
| iscte.alternateIdentifiers.scopus | 2-s2.0-85052501691 | - |
| Appears in Collections: | ISTAR-RI - Artigos em revistas científicas internacionais com arbitragem científica | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| IJCS_45_3_14 (1).pdf | Versão Editora | 1,23 MB | Adobe PDF | View/Open |
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