TY - JOUR
T1 - DBMap
T2 - A space-conscious data visualization and knowledge discovery framework for biomedical data warehouse
AU - Zhang, Ming
AU - Zhang, Hong
AU - Tjandra, Donny
AU - Wong, Stephen T.C.
N1 - Funding Information:
Manuscript received August 27, 2003; revised March 26, 2004. This work was supported by an RO1 Award (NS36007) from the NINDS Human Brain Program (HBP), Center for Bioinformatics Grant, Harvard Center of Neurodegeneration and Repair, Harvard Medical School. The work of S. T. C. Wong was supported by an NLM R29 Award (LM 06 300).
PY - 2004/9
Y1 - 2004/9
N2 - 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.
AB - 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.
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U2 - 10.1109/TITB.2004.832550
DO - 10.1109/TITB.2004.832550
M3 - Article
C2 - 15484440
AN - SCOPUS:4644319154
SN - 1089-7771
VL - 8
SP - 343
EP - 353
JO - IEEE Transactions on Information Technology in Biomedicine
JF - IEEE Transactions on Information Technology in Biomedicine
IS - 3
ER -