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Publication Detailed Description
Journal Title
IAENG International Journal of Computer Science
Year (definitive publication)
2018
Language
English
Country
United Kingdom
More Information
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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.
Acknowledgements
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Keywords
Big data,Data mining,Emergency department,Healthcare
Fields of Science and Technology Classification
- Computer and Information Sciences - Natural Sciences
Funding Records
| Funding Reference | Funding Entity |
|---|---|
| UID/MULTI/4466/2016 | Fundação para a Ciência e a Tecnologia |
| UID/MULTI/0446/2013 | Fundação para a Ciência e a Tecnologia |
