Predicting local and distant metastasis for breast cancer patients using the Bayesian neural network
作者： Poh Lian Choong , C.J.S. deSilva , Y. Attikiouzel
DOI: 10.1109/ICDSP.1997.627974
关键词:
摘要: This paper presents a predictive accuracy comparison between the multivariate logistic regression (MLR) and Bayesian neural network (BNN). The latter is presented in this as an alternative to MLR (MLR). BNN have been used identify early breast cancer patients with high risk of tumour recurrence at time initial resection.
murdoch.edu.au参考文章(5)
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