Identification of Rules for Brain Metastases and Survival Time Prediction for Small Cell Lung Cancer Patients
Kwei Aryeetey, Wojciech Ziarko, Patricia Tai, Casely Ago · Advances in intelligent and soft computing · 2001
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.