Rough Sets and Bayesian Methods Applied to Cancer Detection

  • Authors:

  • Roman W. Swiniarski

  • Affiliations:

  • -

  • Venue:
  • RSCTC '98 Proceedings of the First International Conference on Rough Sets and Current Trends in Computing
  • Year:
  • 1998

  • Review:

    The Knowledge Engineering Review

Quantified Score

Hi-index 0.00

Visualization

Abstract

The paper describes an application of soft computing methods of rough sets and Bayesian inference to a breast cancer detection using electro-potentials. The statistical principal component analysis (PCA) and the rough sets methods were applied for feature extraction, reduction and selection. The quadratic discriminant was applied as a classifier for a breast cancer detection.