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

📅 January 1, 2024 👤 Krahmer, Emiel, Clouth, Felix, Hommes, Saar et al. 📖 HAL (Le Centre pour la Communication Scientifique Directe) 📊 675 citations

🤖 Plain-English Summary

When a person is diagnosed with cancer, difficult decisions about treatments need to be made. 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 treatments.

🔑 Key Findings

  • 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.

💡 Why This Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

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📋 Article Details

Category 🤖 Artificial Intelligence
Published Jan 01, 2024
Journal HAL (Le Centre pour la Communication Scientifique Directe)
Authors Krahmer, Emiel, Clouth, Felix, Hommes, Saar, Vromans, Ruben, Pauws, Steffen
DOI 10.4230/oasics.commit2data.3
Citations 675
Source OpenAlex

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