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Predicting breast cancer risk, recurrence and survivability
Abstract
This thesis focuses on predicting breast cancer at early stages by using machine learning algorithms based on biological datasets. The accuracy of those algorithms has been improved to enable the physicians to enhance the success of treatment, thus saving lives and avoiding several further medical testsSimilar works
This paper was published in Deakin Research Online.
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