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Mining Hierarchical Pathology Data Using Inductive Logic Programming

  • Tim Op De BeéckEmail author
  • Arjen Hommersom
  • Jan Van Haaren
  • Maarten van der Heijden
  • Jesse Davis
  • Peter Lucas
  • Lucy Overbeek
  • Iris Nagtegaal
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9105)

Abstract

Considerable amounts of data are continuously generated by pathologists in the form of pathology reports. To date, there has been relatively little work exploring how to apply machine learning and data mining techniques to these data in order to extract novel clinical relationships. From a learning perspective, these pathology data possess a number of challenging properties, in particular, the temporal and hierarchical structure that is present within the data. In this paper, we propose a methodology based on inductive logic programming to extract novel associations from pathology excerpts. We discuss the challenges posed by analyzing these data and discuss how we address them. As a case study, we apply our methodology to Dutch pathology data for discovering possible causes of two rare diseases: cholangitis and breast angiosarcomas.

Keywords

Background Knowledge Electronic Health Record Rule Mining Inductive Logic Inductive Logic Programming 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Tim Op De Beéck
    • 1
    Email author
  • Arjen Hommersom
    • 2
  • Jan Van Haaren
    • 1
  • Maarten van der Heijden
    • 2
  • Jesse Davis
    • 1
  • Peter Lucas
    • 2
  • Lucy Overbeek
    • 3
  • Iris Nagtegaal
    • 4
  1. 1.Department of Computer ScienceKULeuvenBelgium
  2. 2.Institute for Computing and Information SciencesRadboud UniversityNijmegenThe Netherlands
  3. 3.Registry of Histo- and Cytopathology in the NetherlandsUtrechtThe Netherlands
  4. 4.Department of PathologyRadboud University Medical CentreNijmegenThe Netherlands

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