Helping Cancer Patients to Choose the Best Treatment: Towards Automated Data-Driven and Personalized Information Presentation of Cancer Treatment Options

KEKrahmer, EmielCFClouth, FelixHSHommes, SaarVRVromans, RubenPSPauws, Steffen

Tilburg University · Netherlands Comprehensive Cancer Organisation · +1 more institution

Abstract

When a person is diagnosed with cancer, difficult decisions about treatments need to be made. In this chapter, we describe an interdisciplinary research project which aims to automatically generate personalized descriptions of treatment options for patients. We relied on two large databases provided by the Netherlands Comprehensive Cancer Organisation (IKNL): The Netherlands Cancer Registry and the PROFILES dataset. Combining these datasets allowed us to extract personalized information about treatment options for different types of cancer. In a next step we provided personalized context to these numbers, both in verbal statements and in narratives, with the aim to facilitate shared decision making about…

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675
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Authors

8
  • KE
    Krahmer, EmielCorresponding

    Tilburg University

  • CF
    Clouth, Felix

    Netherlands Comprehensive Cancer Organisation

  • HS
    Hommes, Saar

    Netherlands Comprehensive Cancer Organisation

  • VR
    Vromans, Ruben

    Netherlands Comprehensive Cancer Organisation

  • PS
    Pauws, Steffen

    NXP (Netherlands)

Topics & keywords

Keywords
  • Computer science
  • License
  • Transformer
  • Variety (cybernetics)
  • Bloom
  • Language model
  • Natural language
  • Code (set theory)
UN Sustainable Development Goals
  • Quality Education
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