A Term-Mapping Framework for Data Mining in Heterogeneous Medical Data Sources

Medical informatics developed dramatically in recent years, and the resulting large volumes of data may contain useful information. Data mining is used to gain more value from data sources, but it would not work well using the same way in different medical information systems. It is one of the reaso...

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Bibliographic Details
Main Authors: Liu, Jiquan, Deng, Wenliang, Lu, Xudong, Duan, Huilong
Format: Conference Proceeding
Language:English
Subjects:
Biomedical engineering
Biomedical informatics
Data analysis
Data mining
Educational institutions
Hospitals
Medical diagnostic imaging
Medical information systems
Terminology
Unified modeling language
Online Access:Request full text
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Summary:Medical informatics developed dramatically in recent years, and the resulting large volumes of data may contain useful information. Data mining is used to gain more value from data sources, but it would not work well using the same way in different medical information systems. It is one of the reasons that the data descriptions are various in different systems. This paper presents Term-mapping framework which can be applied in data mining. The framework connects data sources and standard terminology, and it would improve the efficiency of data mining remarkably.
ISSN:2151-7614
2151-7622
DOI:10.1109/ICBBE.2008.187