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 |
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 | |
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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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