Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/114091| Author(s): | Carlos Miguel Ferreira Alves |
| Title: | Demand forecasting in a multi-specialty hospital setting: a comparative study of machine learning and classical statistical methods |
| Issue Date: | 2018-07-20 |
| Subject: | Engenharia electrotécnica, electrónica e informática Electrical engineering, Electronic engineering, Information engineering |
| Scientific areas: | Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática Engineering and technology::Electrical engineering, Electronic engineering, Information engineering |
| DOI: | 10.34626/j217-qr11 |
| TID identifier: | 202113272 |
| URI: | https://hdl.handle.net/10216/114091 |
| Document Type: | Dissertação |
| Rights: | openAccess |
| Appears in Collections: | FEUP - Dissertação |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 277665.pdf | Demand forecasting in a multi-specialty hospital setting: a comparative study of machine learning and classical statistical methods | 623.93 kB | Adobe PDF |  View/Open |
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