Lung Cancer Survival Prediction using Ensemble Data Mining on Seer Data
We analyze the lung cancer data available from the SEER program with the aim of developing accurate survival prediction models for lung cancer. Carefully designed preprocessing steps resulted in removal/modification/splitting of several attributes, and 2 of the 11 derived attributes were found to ha...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2012-01-01
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| Series: | Scientific Programming |
| Online Access: | http://dx.doi.org/10.3233/SPR-2012-0335 |