Referenced Items are not available for this document.
In this study, we firstly take good advantage of SEER Public-Use Data to predict breast cancer recurrence using data mining techniques. The SEER Public-Use Data 2005 is used in this research. We presented a new data pre-classification method and firstly find a possible solution to discover the information of breast cancer recurrence of SEER data. After the preprocessing of the dataset, we investigate several algorithms. As a result, we found c5 algorithm has the best performance of accuracy.
Published in:
Bioinformatics and Biomedical Technology (ICBBT), 2010 International Conference on
Date of Conference: 16-18 April 2010
- Page(s):
- 310 - 311
- Print ISBN:
- 978-1-4244-6775-4
- INSPEC Accession Number:
- 11441750
- Conference Location :
- Chengdu
- Digital Object Identifier :
- 10.1109/ICBBT.2010.5478952
- Product Type:
- Conference Publications
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