Please use this identifier to cite or link to this item:
http://hdl.handle.net/10071/16609| Author(s): | Gonçalves, F. Pereira, R. Ferreira, J. Vasconcelos, J. B. Melo, F. Velez, I. |
| Date: | 2018 |
| Title: | Emergency waiting times data analysis |
| Volume: | 45 |
| Number: | 3 |
| Pages: | 494 - 499 |
| ISSN: | 1819-9224 |
| Keywords: | Big data Data mining Emergency department Healthcare |
| 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. |
| Peerreviewed: | yes |
| Access type: | Open Access |
| 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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