Application of a GRNN oracle to the intelligent combination of several breast cancer benign/malignant predictive paradigms

Walker H. Land, Timothy Masters, Clayton T Morrison, Joseph Y. Lo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The General Regression Neural Network (GRNN) is well known to be an extremely effective prediction model in a wide variety of problems. It has been recently established that in many prediction problems, the results obtained by intelligently combining the outputs of several different prediction models are generally superior to the results obtained by using any one of the models. An overseer model that combines predictions from other independently trained prediction models is often called an oracle. This paper describes how the GRNN is modified to serve as a powerful oracle for combining decisions from four different breast cancer benign/malignant prediction models using mammogram data. In all experiments conducted, the oracle consistently provided superior benign/malignant classification discrimination as measured by the receiver operator characteristic curve Az index values.

Original languageEnglish (US)
Title of host publicationIntelligent Engineering Systems Through Artificial Neural Networks
PublisherASME
Pages803-808
Number of pages6
Volume9
StatePublished - 1999
Externally publishedYes
EventProceedings of the 1999 Artificial Neural Networks in Engineering Conference (ANNIE '99) - St. Louis, MO, USA
Duration: Nov 7 1999Nov 10 1999

Other

OtherProceedings of the 1999 Artificial Neural Networks in Engineering Conference (ANNIE '99)
CitySt. Louis, MO, USA
Period11/7/9911/10/99

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Neural networks
Experiments

ASJC Scopus subject areas

  • Software

Cite this

Land, W. H., Masters, T., Morrison, C. T., & Lo, J. Y. (1999). Application of a GRNN oracle to the intelligent combination of several breast cancer benign/malignant predictive paradigms. In Intelligent Engineering Systems Through Artificial Neural Networks (Vol. 9, pp. 803-808). ASME.

Application of a GRNN oracle to the intelligent combination of several breast cancer benign/malignant predictive paradigms. / Land, Walker H.; Masters, Timothy; Morrison, Clayton T; Lo, Joseph Y.

Intelligent Engineering Systems Through Artificial Neural Networks. Vol. 9 ASME, 1999. p. 803-808.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Land, WH, Masters, T, Morrison, CT & Lo, JY 1999, Application of a GRNN oracle to the intelligent combination of several breast cancer benign/malignant predictive paradigms. in Intelligent Engineering Systems Through Artificial Neural Networks. vol. 9, ASME, pp. 803-808, Proceedings of the 1999 Artificial Neural Networks in Engineering Conference (ANNIE '99), St. Louis, MO, USA, 11/7/99.
Land WH, Masters T, Morrison CT, Lo JY. Application of a GRNN oracle to the intelligent combination of several breast cancer benign/malignant predictive paradigms. In Intelligent Engineering Systems Through Artificial Neural Networks. Vol. 9. ASME. 1999. p. 803-808
Land, Walker H. ; Masters, Timothy ; Morrison, Clayton T ; Lo, Joseph Y. / Application of a GRNN oracle to the intelligent combination of several breast cancer benign/malignant predictive paradigms. Intelligent Engineering Systems Through Artificial Neural Networks. Vol. 9 ASME, 1999. pp. 803-808
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