A comparative study on feature selection for a risk prediction model for colorectal cancer

This publication has 22 references indexed in Scilit:

• Cancer incidence and mortality worldwide: Sources, methods and major patterns in GLOBOCAN 2012
  International Journal of Cancer, 2014
• A hybrid intelligent model of analyzing clinical breast cancer data using clustering techniques with feature selection
  Applied Soft Computing, 2014
• A survey on feature selection methods
  Computers and Electrical Engineering, 2014
• A review of feature selection methods on synthetic data
  Knowledge and Information Systems, 2012
• An intelligent decision support algorithm for diagnosis of colorectal cancer through serum tumor markers
  Computer Methods and Programs in Biomedicine, 2010
• Robust biomarker identification for cancer diagnosis with ensemble feature selection methods
  Bioinformatics, 2009
• International Trends in Colorectal Cancer Incidence Rates
  Cancer Epidemiology, Biomarkers & Prevention, 2009
• Support vector machines combined with feature selection for breast cancer diagnosis
  Expert Systems with Applications, 2009
• A review of feature selection techniques in bioinformatics
  Bioinformatics, 2007
• Stability of feature selection algorithms: a study on high-dimensional spaces
  Knowledge and Information Systems, 2006