Data extraction for improved prediction outcomes in organ transplantation - A hybrid approach

Fariba Shadabi, Dharmendra Sharma, Robert Cox, Nikolai Petrovsky

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Neural network ensembles have made an impressive contribution in a number of different medical domains. Like simple neural network models, the neural network ensembles are known as 'black boxes' since how the outputs are produced is not obvious. Due to this limitation these techniques are not widely used by medical professionals. This paper first provides a short review of the different neural network rule extraction techniques. Then it describes a novel approach, namely "RDC-ANNE" that is designed to extract useful explanations from several combined neural network classifiers. The methodology employed utilises a dataset made available to us from a kidney transplant database. The dataset embodies a number of important properties, which make it a good starting point for the purpose of this research. Results reveal that this approach can be used to identify and extract the regions in the data space that have positive impact on the system performance, provide useful explanations from several combined neural networks and enhance the overall utility of current neural network models.

Original languageEnglish
Title of host publicationContributions to Probability and Statistics
Subtitle of host publicationApplications and Challenges - Proceedings of the International Statistics Workshop
Pages276-288
Number of pages13
Publication statusPublished - 2006
Externally publishedYes
EventInternational Statistics Workshop on Contributions to Probability and Statistics: Applications and Challenges - Canberra, ACT, Australia
Duration: 4 Apr 20055 Apr 2005

Publication series

NameContributions to Probability and Statistics: Applications and Challenges - Proceedings of the International Statistics Workshop

Conference

ConferenceInternational Statistics Workshop on Contributions to Probability and Statistics: Applications and Challenges
CountryAustralia
CityCanberra, ACT
Period4/04/055/04/05

Keywords

  • Hybrid intelligent method
  • Kidney transplant
  • Neural network ensemble
  • Rule extraction

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