Supporting knowledge discovery in medicine

Klaus Arthofer, Dominic Girardi

Research output: Chapter in Book/Report/Conference proceedingsConference contribution


Our ontology-based benchmarking infrastructure for hospitals, we presented on the eHealth 2012, has meanwhile proven useful. Besides, we gathered manifold experience in supporting knowledge discovery in medicine. This also led to further functions and plans with our software. We could confirm and extent our experience by a literature review on the knowledge discovery process in medicine, visual analytics and data mining and drafted an according approach for extending our software. We validated our approach by exemplarily implementing a parallel-coordinate data visualization into our software and plan to integrate further algorithms for visual analytics and machine learning to support knowledge discovery in medicine in diverse ways. This is very promising but can also fail due to technical or organizational details.
Original languageEnglish
Title of host publicationeHealth2014 – Health Informatics Meets eHealth
Subtitle of host publicationOutcomes Research: The Benefit of Health-IT
PublisherIOS Press Amsterdam
Number of pages9
ISBN (Print)978-1-61499-396-4
Publication statusPublished - 2014

Publication series

NameStudies in Health Technology and Informatics
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365


  • Data Mining
  • Health Information Management
  • Medical Records Systems, Computerized


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