Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/152891| Author(s): | Guilherme de Pinho e Silva Basílio Paulino |
| Title: | Predicting Length of Stay for Orthopedic Patients: Machine Learning Approach |
| Issue Date: | 2023-09-28 |
| Subject: | Economia e gestão Economics and Business |
| Scientific areas: | Ciências sociais::Economia e gestão Social sciences::Economics and Business |
| DOI: | 10.34626/ebth-sx27 |
| TID identifier: | 203555627 |
| URI: | https://hdl.handle.net/10216/152891 |
| Document Type: | Dissertação |
| Rights: | embargoedAccess |
| Embargo End Date: | 2033-09-27 |
| Appears in Collections: | FEP - Dissertação |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 643485.pdf Restricted Access | Predicting Length of Stay for Orthopedic Patients: Machine Learning Approach | 1.55 MB | Adobe PDF | View/Open |
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