Conferences in Research and Practice in Information Technology
  

Online Version - Last Updated - 20 Jan 2012

 

 
Home
 

 
Procedures and Resources for Authors

 
Information and Resources for Volume Editors
 

 
Orders and Subscriptions
 

 
Published Articles

 
Upcoming Volumes
 

 
Contact Us
 

 
Useful External Links
 

 
CRPIT Site Search
 
    

Knowledge Visualization in Hepatitis Study

Nguyen, D., Ho, T. and Kawasaki, S.

    Evidence-based medicine (EBM) is a shift in which medicine from being based on individual experience of doctors to evidence with clear background. In this shift, data mining can play a significant role as its ability of uncovering medical evidence from large volumes of medical data. Recognizing the crucial role of visualization in discovering such evidences, this work presents some developed tools integrated in our data mining system D2MS for appropriately visualizing knowledge, and their usage in hepatitis study. We emphasize on our two rule visualizers, one for individual rule and the other for rule in its relations with the others.
Cite as: Nguyen, D., Ho, T. and Kawasaki, S. (2006). Knowledge Visualization in Hepatitis Study. In Proc. Asia Pacific Symposium on Information Visualisation (APVIS2006), Tokyo, Japan. CRPIT, 60. Misue, K., Sugiyama, K. and Tanaka, J., Eds. ACS. 59-62.
pdf (from crpit.com) pdf (local if available) BibTeX EndNote GS
 

 

ACS Logo© Copyright Australian Computer Society Inc. 2001-2014.
Comments should be sent to the webmaster at crpit@scem.uws.edu.au.
This page last updated 16 Nov 2007