Conference paper
Predicting local and distant metastasis for breast cancer patients using the Bayesian neural network
Proceedings of 13th International Conference on Digital Signal Processing, Vol.1, pp.83-88
Proceedings of the 13th International Conference on Digital Signal Processing , 1997. DSP 97., 1997 Digital Signal Processing Proceedings, DSP 97 (Santorini, Greece, 02/07/1997–04/07/1997)
1997
Abstract
This paper presents a predictive accuracy comparison between the multivariate logistic regression (MLR) and the Bayesian neural network (BNN). The latter is presented in this paper as an alternative to the MLR (MLR). The MLR and BNN have been used to identify early breast cancer patients with high risk of tumour recurrence at the time of initial resection.
Details
- Title
- Predicting local and distant metastasis for breast cancer patients using the Bayesian neural network
- Authors/Creators
- P.L. Choong (Author/Creator) - The University of Western AustraliaC.J.S. deSilva (Author/Creator) - Department of Physics, Mathematics and InformaticsY. Attikiouzel (Author/Creator) - Department of Physics, Mathematics and Informatics
- Publication Details
- Proceedings of 13th International Conference on Digital Signal Processing, Vol.1, pp.83-88
- Conference
- Proceedings of the 13th International Conference on Digital Signal Processing , 1997. DSP 97., 1997 Digital Signal Processing Proceedings, DSP 97 (Santorini, Greece, 02/07/1997–04/07/1997)
- Identifiers
- 991005541768507891
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Conference paper
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