![](/images/graphics-bg.png)
Disease Related Knowledge Summarization Based on Deep Graph Search
Joint Authors
Wu, Xiaofang
Yang, Zhihao
Li, ZhiHeng
Lin, Hongfei
Wang, Jian
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-08-25
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
The volume of published biomedical literature on disease related knowledge is expanding rapidly.
Traditional information retrieval (IR) techniques, when applied to large databases such as PubMed, often return large, unmanageable lists of citations that do not fulfill the searcher’s information needs.
In this paper, we present an approach to automatically construct disease related knowledge summarization from biomedical literature.
In this approach, firstly Kullback-Leibler Divergence combined with mutual information metric is used to extract disease salient information.
Then deep search based on depth first search (DFS) is applied to find hidden (indirect) relations between biomedical entities.
Finally random walk algorithm is exploited to filter out the weak relations.
The experimental results show that our approach achieves a precision of 60% and a recall of 61% on salient information extraction for Carcinoma of bladder and outperforms the method of Combo.
American Psychological Association (APA)
Wu, Xiaofang& Yang, Zhihao& Li, ZhiHeng& Lin, Hongfei& Wang, Jian. 2015. Disease Related Knowledge Summarization Based on Deep Graph Search. BioMed Research International،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1055454
Modern Language Association (MLA)
Wu, Xiaofang…[et al.]. Disease Related Knowledge Summarization Based on Deep Graph Search. BioMed Research International No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1055454
American Medical Association (AMA)
Wu, Xiaofang& Yang, Zhihao& Li, ZhiHeng& Lin, Hongfei& Wang, Jian. Disease Related Knowledge Summarization Based on Deep Graph Search. BioMed Research International. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1055454
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1055454