| Autor: |
Thibaut Julien, Fouad Maaloul, Salah Zidi, Anis Mjirda |
| Rok vydání: |
2015 |
| Předmět: |
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| Zdroj: |
2015 4th International Conference on Advanced Logistics and Transport (ICALT). |
| DOI: |
10.1109/icadlt.2015.7136632 |
| Popis: |
In this paper, we propose a semi-automatic system to deal with the undesired events that may happen in the medical field. Based on algorithms of textual extraction and classifications, it performs a preprocessing of undesired events' declarations. The proposed system is currently running on different hospitals and some medical institutions in France. Computational study were made on a real-case instances and experimentations shows good results for the proposed approaches. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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