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Predicting Colorectal Cancer Recurrence: A Hybrid Neural Networks-Based Approach

  • Rob Smithies
  • Said Salhi
  • Nat Queen
Part of the Operations Research/Computer Science Interfaces Series book series (ORCS, volume 32)

Abstract

This study presents a new expert system for predicting colorectal cancer recurrence that combines a relaxed form of stepwise regression, a new clustering strategy designed to cope with mixed attribute types and missing data, and ensembles of neural networks trained via a new robust global optimisation method. Results show that implementation of the expert system leads to an improvement in the prediction of colorectal cancer recurrence approaching levels of accuracy required by medical practitioners for clinical use.

Keywords

Metaheuristic expert system regression K-means missing data neural network ensemble RPROP local search tabu search 

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Copyright information

© Springer Science+Business Media, Inc. 2005

Authors and Affiliations

  • Rob Smithies
    • 1
  • Said Salhi
    • 1
  • Nat Queen
    • 1
  1. 1.School of Mathematics and StatisticsUniversity of BirminghamEdgbastonUK

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