Identification of Rules for Brain Metastases and Survival Time Prediction for Small Cell Lung Cancer Patients

  • Kwei Aryeetey
  • Wojciech Ziarko
  • Patricia Tai
  • Casely Ago
Conference paper
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 10)


This paper presents experiments with the application of rough set-based data mining methodology to discover predictive rules in small cell lung cancer patient data. The specific prediction targets are the occurrence of the spread of cancer to the brain and the prediction of patient survival time. The obtained results have been derived from patient data supplied by cancer researchers from the Allan Blair Cancer Center, Regina, Saskatchewan, Canada who also provided all the necessary background information and conducted medical evaluation of the results.


Brain Metastasis Small Cell Lung Cancer Decision Table Biological Effective Dose Prophylactic Cranial Irradiation 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Kwei Aryeetey
    • 1
  • Wojciech Ziarko
    • 1
  • Patricia Tai
    • 2
  • Casely Ago
    • 2
  1. 1.Computer Science Department University of ReginaReginaCanada
  2. 2.Allan Blair Cancer CenterReginaCanada

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