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 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.