DocumentCode :
2141287
Title :
Design of a Clinical Knowledge Base for Heart Disease Detection
Author :
Kim, Ki-Hyeon ; Choi, Ho-Jin
Author_Institution :
Inf. & Commun. Univ., Daejeon
fYear :
2007
fDate :
16-19 Oct. 2007
Firstpage :
610
Lastpage :
615
Abstract :
As people have interests in their health recently, development of medical domain application has been one of the most active research areas. One example of medical domain application is detection system for heart disease based on electrocardiogram (ECG) which records the electrical activity of the heart over time as wave form. However, detecting heart disease by using only ECG has some disadvantages, so detecting heart disease by using other resources is better way. In order to support detection system which uses several resources, knowledge of each resource domain should be defined. This research constructs knowledge base of ECG and heart disease using semantic web technology, proposes inference engine for heart disease detection, and implements prototype of this system.
Keywords :
diseases; electrocardiography; medical information systems; semantic Web; clinical knowledge base design; electrocardiogram; heart disease detection system; heart electrical activity recording; inference engine; medical domain application; semantic Web; Application software; Cardiac disease; Cardiovascular diseases; Clinical diagnosis; Electrocardiography; Heart; Medical diagnostic imaging; Medical services; Myocardium; Prototypes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Technology, 2007. CIT 2007. 7th IEEE International Conference on
Conference_Location :
Aizu-Wakamatsu, Fukushima
Print_ISBN :
978-0-7695-2983-7
Type :
conf
DOI :
10.1109/CIT.2007.172
Filename :
4385151
Link To Document :
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