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A tree augmented naive Bayesian network experiment for breast cancer prediction by Ren, Ping is a scholarly article available to read on EtoBox.

What is A tree augmented naive Bayesian network experiment for breast cancer prediction about?

In order to investigate the breast cancer prediction problem on the aging population with the grades of DCIS, we conduct a tree augmented naive Bayesian network experiment trained and tested on a large clinical dataset including consecutive diagnostic mammography examinations, consequent biopsy outcomes and related cancer registry records in the population of women across all ages. The aggregated results of our ten-fold cross validation method recommend a biopsy threshold higher than 2% for the aging population.

Author

Ren, Ping

Published

2015

Language

EN