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
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