An ensemble machine learning approach to predict survival in breast cancer

Volume: 1, Issue: 3, Pages: 275 - 294
Published: Dec 1, 2008
Abstract
Current breast cancer predictive signatures are not unique. Can we use this fact to our advantage to improve prediction? From the machine learning perspective, it is well known that combining multiple classifiers can improve classification performance. We propose an ensemble machine learning approach which consists of choosing feature subsets and learning predictive models from them. We then combine models based on certain model fusion criteria...
Paper Details
Title
An ensemble machine learning approach to predict survival in breast cancer
Published Date
Dec 1, 2008
Volume
1
Issue
3
Pages
275 - 294
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