NDLI: Medical Adverse Events Classification for Domain Knowledge Extraction

Content Provider	IEEE Xplore Digital Library
Author	Rung-Ching Chen Pao-Cho Tsan I-Yen Lee Jiin-Chyr Hsu
Copyright Year	2009
Abstract	In the viewpoint of sharing knowledge, users need to input keywords before the agent retrievals the related information from the Internet. At the same time, the traditional method ignored the true meaning of the terms. However, the semantic web has been created to improve the disadvantage. 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. 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.
Starting Page	298
Ending Page	303
File Size	1413609
Page Count	6
File Format	PDF
ISBN	9780769537450
DOI	10.1109/HIS.2009.65
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Backpropagation Ontology Classify Humans Ontologies Information retrieval Data mining Knowledge Presentation Intelligent agent Machine intelligence Semantic Web Hospitals Medical adverse event Accreditation Internet
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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