Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/119675| Author(s): | Júlio Cesar Botelho de Souza |
| Title: | A machine learning-based approach to support the assessment of clinical coded data quality in the context of Diagnosis-Related Groups classification systems |
| Issue Date: | 2019-04-23 |
| Subject: | Outras ciências médicas Other medical sciences |
| Scientific areas: | Ciências médicas e da saúde::Outras ciências médicas Medical and Health sciences::Other medical sciences |
| DOI: | 10.34626/21hy-3w46 |
| TID identifier: | 101511663 |
| URI: | https://hdl.handle.net/10216/119675 |
| Document Type: | Tese |
| Rights: | openAccess |
| Appears in Collections: | FMUP - Tese |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 332174.pdf | A machine learning-based approach to support the assessment of clinical coded data quality in the context of Diagnosis-Related Groups classification systems | 6.09 MB | Adobe PDF |  View/Open |
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