Interactive Knowledge Discovery with the Doctor-in-the-Loop: A Practical Example of Cerebral Aneurysms Research

Dominic Girardi, Josef Küng, Raimund Kleiser, Michael Sonnberger, Doris Csillag, Johannes Trenkler, Andreas Holzinger

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Established process models for knowledge discovery find the domain-expert in a customer-like and supervising role. In the field of biomedical research, it is necessary to move the domain-experts into the center of this process with far-reaching consequences for both their research output and the process itself. In this paper, we revise the established process models for knowledge discovery and propose a new process model for domain-expert-driven interactive knowledge discovery. Furthermore, we present a research infrastructure which is adapted to this new process model and demonstrate how the domain-expert can be deeply integrated even into the highly complex data-mining process and data-exploration tasks. We evaluated this approach in the medical domain for the case of cerebral aneurysms research.
Original languageEnglish
Pages (from-to)133-143
JournalBrain Informatics
Volume3
Issue number3
Early online date24 Feb 2016
DOIs
Publication statusPublished - 10 Sep 2016

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Keywords

  • Doctor-in-the-loop
  • interactive Machine Learning
  • Machine Learning
  • Process Model
  • Knowledge Discovery
  • medical research
  • Health Informatics

ASJC Scopus subject areas

  • Information Systems and Management
  • Artificial Intelligence

Fields of Expertise

  • Information, Communication & Computing

Treatment code (Nähere Zuordnung)

  • Basic - Fundamental (Grundlagenforschung)
  • Experimental

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