DocumentCode :
2923298
Title :
A novel method for medical adverse events classification
Author :
Chen, Rung-Ching ; Bau, Cho-Tsan ; Lee, I-Jing ; Huang, Chung-Yi
Author_Institution :
Dept. of Inf. Manage., Choayang Univ. of Technol., Taichung, Taiwan
fYear :
2011
fDate :
8-10 Nov. 2011
Firstpage :
115
Lastpage :
120
Abstract :
Ontology is the fundamental element of the semantic web that is a kind of knowledge presentation and can present the variety of property for concept. According to the regulation of Department of Health, Executive Yuan, R.O.C, the hospital has implemented the new Hospital Accreditation from 2005. Furthermore, the Hospital Accreditation evolves the variety of items of accreditation. Medical adverse event reporting is a kind of the Hospital Accreditation. The system which can deal with the medical adverse event reporting is operated by human at present. None the less, the system caused some questions, such as inconsistent knowledge and human negligence. The research proposed a new framework which can replace the human automatically. First, we get concepts through extraction of information and analyze sentences through classification of events. After that we analyze those classes which can construct variable and dynamic ontology in medical adverse event reporting.
Keywords :
medical administrative data processing; ontologies (artificial intelligence); pattern classification; semantic Web; Hospital Accreditation; Semantic Web; knowledge presentation; medical adverse events classification; ontology; Accreditation; Data mining; Feature extraction; Hospitals; Ontologies; Probability; Semantics; Backpropagation; Bayes´ theorem; Medical adverse classifier; Medical adverse event; Ontology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Granular Computing (GrC), 2011 IEEE International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-4577-0372-0
Type :
conf
DOI :
10.1109/GRC.2011.6122578
Filename :
6122578
Link To Document :
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