Predicting breast cancer risk, recurrence and survivability
Al-Quraishi, Tahsien Ali Hussein 2019, Predicting breast cancer risk, recurrence and survivability, Ph.D. thesis, School of Information Technology, Deakin University.
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 tests.
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.