Determining Pattern Element Contribution in Medical Datasets

Anna Shillabeer, Darius Pfitzner

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in Proceedingspeer-review


Presented are two novel solutions addressing issues in the application of automated data analysis techniques in the medical domain. The primary aim of our work is to provide medical practitioners with patterns which can inform, and facilitate the development of subjective judgements regarding the content of those patterns. This is achieved by changing the focus of information evaluation and presentation from the broad pattern level to the finer pattern element level. We believe that our solutions provide a more informative pattern description than that of current data mining applications and also provide an opportunity for medical practitioners to increase the quality of care provided and create savings both in human and financial terms.
Original languageEnglish
Title of host publicationACSW Frontiers 2007
Place of PublicationBallarat, Victoria, Australia
Number of pages240
Publication statusPublished - 2007
Externally publishedYes


Dive into the research topics of 'Determining Pattern Element Contribution in Medical Datasets'. Together they form a unique fingerprint.

Cite this