Statistical approach for mining breast cancer patterns

74 p.

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Bibliographic Details
Main Author: Qu, Xiaoyang.
Other Authors: Zhong Zhaowei
Format: Theses and Dissertations
Published: 2010
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Online Access:http://hdl.handle.net/10356/36014
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-360142023-03-11T17:01:40Z Statistical approach for mining breast cancer patterns Qu, Xiaoyang. Zhong Zhaowei School of Mechanical and Aerospace Engineering DRNTU::Engineering::Bioengineering 74 p. The main objective of this dissertation is to help physicians predict and diagnose the recurrence of breast cancer by providing which factors of the tumor are more important and have more direct relations with recurrence. According to conventional point of view, the size of tumor is closely associated to the recurrence of breast cancer. But this does not provide enough information. In this dissertation, some other probable factors of the tumor may also contribute to the recurrence, such as the texture of the tumor. Master of Science (Biomedical Engineering) 2010-04-23T02:23:32Z 2010-04-23T02:23:32Z 2007 2007 Thesis http://hdl.handle.net/10356/36014 application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Bioengineering
spellingShingle DRNTU::Engineering::Bioengineering
Qu, Xiaoyang.
Statistical approach for mining breast cancer patterns
description 74 p.
author2 Zhong Zhaowei
author_facet Zhong Zhaowei
Qu, Xiaoyang.
format Theses and Dissertations
author Qu, Xiaoyang.
author_sort Qu, Xiaoyang.
title Statistical approach for mining breast cancer patterns
title_short Statistical approach for mining breast cancer patterns
title_full Statistical approach for mining breast cancer patterns
title_fullStr Statistical approach for mining breast cancer patterns
title_full_unstemmed Statistical approach for mining breast cancer patterns
title_sort statistical approach for mining breast cancer patterns
publishDate 2010
url http://hdl.handle.net/10356/36014
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