Textual extraction and classification for medical risk management: A new Risk Management Platform to manage undesired medical events
- Resource Type
- Conference
- Authors
- Zidi, Salah; Julien, Thibaut; Mjirda, Anis; Maaloul, Fouad
- Source
- 2015 4th International Conference on Advanced Logistics and Transport (ICALT) Advanced Logistics and Transport (ICALT), 2015 4th International Conference on. :235-239 May, 2015
- Subject
- Transportation
Servers
Accidents
Gravity
Risk Management
Undesired events
Medical field
Textual extraction
Classifications
Machine learning
Support Vector Machines
- Language
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.