DBMap: A space-conscious data visualization and knowledge discovery framework for biomedical data warehouse

Ming Zhang, Hong Zhang, Donny Tjandra, Stephen T.C. Wong

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


Advances in digital imaging modalities as well as other diagnosis and therapeutic techniques have generated a massive amount of diverse data for clinical research. The purpose of this study is to investigate and implement a new intuitive and space-conscious visualization framework, called DBMap, to facilitate efficient multidimensional data visualization and knowledge discovery against the large-scale data warehouses of integrated image and nonimage data. The DBMap framework is built upon the TreeMap concept. TreeMap is a space constrained graphical representation of large hierarchical data sets, mapped to a matrix of rectangles, whose size and color represent interested database fields. It allows the display of a large amount of numerical and categorical information in limited real estate of the computer screen with an intuitive user interface. DBMap has been implemented and integrated into a large brain research data warehouse to support neurologic and neuroradiologic research at the University of California, San Francisco Medical Center. For imaging specialists and clinical researchers, this novel DBMap framework facilitates another way to better explore and classify the hidden knowledge embedded in medical image data warehouses.

Original languageEnglish (US)
Pages (from-to)343-353
Number of pages11
JournalIEEE Transactions on Information Technology in Biomedicine
Issue number3
StatePublished - Sep 2004

ASJC Scopus subject areas

  • Biotechnology
  • Computer Science Applications
  • Electrical and Electronic Engineering


Dive into the research topics of 'DBMap: A space-conscious data visualization and knowledge discovery framework for biomedical data warehouse'. Together they form a unique fingerprint.

Cite this