Multi-Dimension of Medical Database Exploration and Visualization
Date Issued
2011
Date
2011
Author(s)
Chang, Shu-Wei
Abstract
Since E.F. Codd introduced the relational table as database model in 1970, the relational table was served as the foundation of today’s multibillion-dollar database industry. During the past decade, the multidimensional data model was proposed for use when the objective is to analyze data rather than to perform online transactions. However, not every data set is suitable for multidimensional data model, and sometimes OLAP alone can not provide meaningful information.
The medical industry collects large amounts of data for physicians, nurse and the other professional users, searching for patient-oriented record. As each item among the same data column of database can generate hidden relation with other specific data column, the propose of this paper implement a system based on multidimensional database, try to provide different dimensions for users from the other fields to explore database intuitively.
In this paper, we integrated OLAP cubes and statistical method to build a system, which presents a rich environment for different users, and provide useful visualization tool to improves information demonstration.
Subjects
Multidimensional database
Data mining
OLAP
Data visualization
Type
thesis
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