Textual extraction and classification for medical risk management: A new Risk Management Platform to manage undesired medical events

Author

Zidi, Salah ; Julien, Thibaut ; Mjirda, Anis ; Maaloul, Fouad

Author_Institution

MIS Dept., Qassim Univ., Qassim, Saudi Arabia

fYear

2015

fDate

20-22 May 2015

Firstpage

235

Lastpage

239

Abstract

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.

Keywords

decision support systems; hospitals; medical administrative data processing; pattern classification; risk management; France; RMP; hospitals; information-based decision support system; medical institutions; medical risk management; risk management platform; semiautomatic system; textual classification; textual extraction; undesired medical events management; Accidents; Gravity; Servers; Classifications; Machine learning; Medical field; Risk Management; Support Vector Machines; Textual extraction; Undesired events;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Logistics and Transport (ICALT), 2015 4th International Conference on

Conference_Location

Valenciennes

Type

conf

DOI

10.1109/ICAdLT.2015.7136632

Filename

7136632