Combining HCI, Natural Language Processing, and Knowledge Discovery - Potential of IBM Content Analytics as an Assistive Technology in the Biomedical Field

  • Andreas Holzinger
  • Christof Stocker
  • Bernhard Ofner
  • Gottfried Prohaska
  • Alberto Brabenetz
  • Rainer Hofmann-Wellenhof
Conference paper

DOI: 10.1007/978-3-642-39146-0_2

Volume 7947 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Holzinger A., Stocker C., Ofner B., Prohaska G., Brabenetz A., Hofmann-Wellenhof R. (2013) Combining HCI, Natural Language Processing, and Knowledge Discovery - Potential of IBM Content Analytics as an Assistive Technology in the Biomedical Field. In: Holzinger A., Pasi G. (eds) Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data. Lecture Notes in Computer Science, vol 7947. Springer, Berlin, Heidelberg

Abstract

Medical professionals are confronted with a flood of big data most of it containing unstructured information. Such unstructured information is the subset of information, where the information itself describes parts of what constitutes as significant within it, or in other words - structure and information are not completely separable. The best example for such unstructured information is text. For many years, text mining has been an essential area of medical informatics. Although text can easily be created by medical professionals, the support of automatic analyses for knowledge discovery is extremely difficult. We follow the definition that knowledge consists of a set of hypotheses, and knowledge discovery is the process of finding or generating new hypotheses by medical professionals with the aim of getting insight into the data. In this paper we present some lessons learned of ICA for dermatological knowledge discovery, for the first time. We follow the HCI-KDD approach, i.e. with the human expert in the loop matching the best of two worlds: human intelligence with computational intelligence.

Keywords

Knowledge discovery data mining human-computer interaction medical informatics Unstructured Information Management Content Analytics 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Andreas Holzinger
    • 1
  • Christof Stocker
    • 1
  • Bernhard Ofner
    • 1
  • Gottfried Prohaska
    • 2
  • Alberto Brabenetz
    • 2
  • Rainer Hofmann-Wellenhof
    • 3
  1. 1.Institute for Medical Informatics, Statistics & Documentation, Research Unit HCI4MEDMedical University GrazGrazAustria
  2. 2.IBM AustriaViennaAustria
  3. 3.Department for DermatologyLKH-University Hospital GrazGrazAustria