The application of machine learning methods to predict survival in patients with breast cancer

The application of machine learning methods to predict survival in patients with breast cancer

Bibliographic Details
Main Author: Al-Allak, Asmaa
Published: Swansea University 2013
Subjects:
616.99
Breast cancer
Online Access:http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.678583
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spelling ndltd-bl.uk-oai-ethos.bl.uk-6785832017-10-04T03:38:22ZThe application of machine learning methods to predict survival in patients with breast cancerAl-Allak, Asmaa2013616.99Breast cancerSwansea University http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.678583Electronic Thesis or Dissertation
collection NDLTD
sources NDLTD
topic 616.99
Breast cancer
spellingShingle 616.99
Breast cancer
Al-Allak, Asmaa
The application of machine learning methods to predict survival in patients with breast cancer
author Al-Allak, Asmaa
author_facet Al-Allak, Asmaa
author_sort Al-Allak, Asmaa
title The application of machine learning methods to predict survival in patients with breast cancer
title_short The application of machine learning methods to predict survival in patients with breast cancer
title_full The application of machine learning methods to predict survival in patients with breast cancer
title_fullStr The application of machine learning methods to predict survival in patients with breast cancer
title_full_unstemmed The application of machine learning methods to predict survival in patients with breast cancer
title_sort application of machine learning methods to predict survival in patients with breast cancer
publisher Swansea University
publishDate 2013
url http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.678583
work_keys_str_mv AT alallakasmaa theapplicationofmachinelearningmethodstopredictsurvivalinpatientswithbreastcancer
AT alallakasmaa applicationofmachinelearningmethodstopredictsurvivalinpatientswithbreastcancer
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