Applying Visualizing Association Rules in Medical Data Mining —An Example of Information Extraction from Severe Acute Respiratory Syndrome Literatures

碩士 === 臺北醫學大學 === 醫學資訊研究所 === 91 === In this research, we apply the visualization techniques: Direct Graph and Hyperbolic Tree in literature extraction. We implement the tool for researchers to rearrange the literatures and represent the association rules for each term and the documents....

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Bibliographic Details
Main Authors:	Forrest Yu-Ming, Lin, 林祐民
Other Authors:	I-Jen, Chiang
Format:	Others
Language:	en_US
Published:	2003
Online Access:	http://ndltd.ncl.edu.tw/handle/51742531706365922129

id	ndltd-TW-091TMC00674014
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spelling	ndltd-TW-091TMC006740142015-10-13T13:35:59Z http://ndltd.ncl.edu.tw/handle/51742531706365922129 Applying Visualizing Association Rules in Medical Data Mining —An Example of Information Extraction from Severe Acute Respiratory Syndrome Literatures 應用視覺化關連性規則於醫學資料探勘—以嚴重急性呼吸道症候群的文章擷取資訊為例 Forrest Yu-Ming, Lin 林祐民碩士臺北醫學大學醫學資訊研究所 91 In this research, we apply the visualization techniques: Direct Graph and Hyperbolic Tree in literature extraction. We implement the tool for researchers to rearrange the literatures and represent the association rules for each term and the documents. It provides users an intuitive way to filter the documents for saving time on paper review and experiment design. In the end, we use the documents which mentioned Severe Acute Respiratory Syndrome (SARS) to demo the literatures extraction and how visualization helps. I-Jen, Chiang 蔣以仁 2003 學位論文 ; thesis 58 en_US
collection	NDLTD
language	en_US
format	Others
sources	NDLTD
description	碩士 === 臺北醫學大學 === 醫學資訊研究所 === 91 === In this research, we apply the visualization techniques: Direct Graph and Hyperbolic Tree in literature extraction. We implement the tool for researchers to rearrange the literatures and represent the association rules for each term and the documents. It provides users an intuitive way to filter the documents for saving time on paper review and experiment design. In the end, we use the documents which mentioned Severe Acute Respiratory Syndrome (SARS) to demo the literatures extraction and how visualization helps.
author2	I-Jen, Chiang
author_facet	I-Jen, Chiang Forrest Yu-Ming, Lin 林祐民
author	Forrest Yu-Ming, Lin 林祐民
spellingShingle	Forrest Yu-Ming, Lin 林祐民 Applying Visualizing Association Rules in Medical Data Mining —An Example of Information Extraction from Severe Acute Respiratory Syndrome Literatures
author_sort	Forrest Yu-Ming, Lin
title	Applying Visualizing Association Rules in Medical Data Mining —An Example of Information Extraction from Severe Acute Respiratory Syndrome Literatures
title_short	Applying Visualizing Association Rules in Medical Data Mining —An Example of Information Extraction from Severe Acute Respiratory Syndrome Literatures
title_full	Applying Visualizing Association Rules in Medical Data Mining —An Example of Information Extraction from Severe Acute Respiratory Syndrome Literatures
title_fullStr	Applying Visualizing Association Rules in Medical Data Mining —An Example of Information Extraction from Severe Acute Respiratory Syndrome Literatures
title_full_unstemmed	Applying Visualizing Association Rules in Medical Data Mining —An Example of Information Extraction from Severe Acute Respiratory Syndrome Literatures
title_sort	applying visualizing association rules in medical data mining —an example of information extraction from severe acute respiratory syndrome literatures
publishDate	2003
url	http://ndltd.ncl.edu.tw/handle/51742531706365922129
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Applying Visualizing Association Rules in Medical Data Mining —An Example of Information Extraction from Severe Acute Respiratory Syndrome Literatures

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