Getting started in text mining to find the biological network shared with rheumatoid arthritis, coronary heart disease and diabetes mellitus

Xiaorong Ding; Aiping Lu; Qinglin Zha

doi:10.1109/BIBMW.2010.5703870

Getting started in text mining to find the biological network shared with rheumatoid arthritis, coronary heart disease and diabetes mellitus

Xiaorong Ding
, Aiping Lu^*
, Qinglin Zha

^*Corresponding author for this work

Office of the Dean of Chinese Medicine

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

1 Citation (Scopus)

Abstract

In order to contribute to biomedical text extraction and mining in the field of modern research of pattern in traditional Chinese medicine (TCM), MeSH mining method was used in this study. Based on "Different diseases with same pattern" theory in TCM, rheumatoid arthritis, coronary heart disease and diabetes mellitus were selected to explore the potential biological network shared in these three diseases. By means of association analysis method, four main network were presented including oxidation reduction, apoptosis, vascularization and sex hormone. It suggested that text mining could be the starting for the modern research on pattern in TCM.

Original language	English
Title of host publication	2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010
Editors	Diego di Bernardo, Ting Fung Chan, Jake Chen, Xin Chen, Xuewen Chen, Yidong Chen, Xiaodong Cheng, H. Gue Cho, Young-Rae Cho, Francisco Couto, Ramana V. Davuluri, Lin Gao, Pietro Hiram Guzzi, Chuhsing Kate Hsiao, Hui-Huang Hsu, Luke Jun Huan, Kun Huang, Yufei Huang, Rui Jiang, William Klement, Guo-Zheng Li, Bo Luo, Martin Michalowski, Jurg Ott, Quan Pan, Taesung Park, Linda Pattini, Brian Potetz, Xiaofeng Song, Dympna O'Sullivan, Hao Sun, Vincent S. Tseng, Yiqin Wang, FangXiang Wu, Dan Xi, Siu Ming Yiu, Shaowu Zhang, Zhongming Zhao, Huiru Zheng
Place of Publication	California
Publisher	IEEE
Pages	609-612
Number of pages	4
ISBN (Electronic)	9781424483044
ISBN (Print)	9781424483037
DOIs	https://doi.org/10.1109/BIBMW.2010.5703870
Publication status	Published - 18 Dec 2010
Event	2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops - , Hong Kong, China Duration: 18 Dec 2010 → 21 Dec 2010 https://ieeexplore.ieee.org/xpl/conhome/5695144/proceeding (Conference proceeding)

Publication series

Name	IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW

Conference

Conference	2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops
Abbreviated title	BIBMW 2010
Country/Territory	Hong Kong, China
Period	18/12/10 → 21/12/10
Internet address	https://ieeexplore.ieee.org/xpl/conhome/5695144/proceeding (Conference proceeding)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

User-Defined Keywords

Coronary heart disease
Diabetes mellitus
MeSH
Pattern
Rheumatoid arthritis
Text mining

Access to Document

10.1109/BIBMW.2010.5703870

Cite this

Ding, X., Lu, A., & Zha, Q. (2010). Getting started in text mining to find the biological network shared with rheumatoid arthritis, coronary heart disease and diabetes mellitus. In D. D. Bernardo, T. F. Chan, J. Chen, X. Chen, X. Chen, Y. Chen, X. Cheng, H. G. Cho, Y.-R. Cho, F. Couto, R. V. Davuluri, L. Gao, P. H. Guzzi, C. K. Hsiao, H.-H. Hsu, L. J. Huan, K. Huang, Y. Huang, R. Jiang, W. Klement, G.-Z. Li, B. Luo, M. Michalowski, J. Ott, Q. Pan, T. Park, L. Pattini, B. Potetz, X. Song, D. O'Sullivan, H. Sun, V. S. Tseng, Y. Wang, F. Wu, D. Xi, S. M. Yiu, S. Zhang, Z. Zhao, ... H. Zheng (Eds.), 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010 (pp. 609-612). (IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW). IEEE. https://doi.org/10.1109/BIBMW.2010.5703870

Ding, Xiaorong ; Lu, Aiping ; Zha, Qinglin. / Getting started in text mining to find the biological network shared with rheumatoid arthritis, coronary heart disease and diabetes mellitus. 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010. editor / Diego di Bernardo ; Ting Fung Chan ; Jake Chen ; Xin Chen ; Xuewen Chen ; Yidong Chen ; Xiaodong Cheng ; H. Gue Cho ; Young-Rae Cho ; Francisco Couto ; Ramana V. Davuluri ; Lin Gao ; Pietro Hiram Guzzi ; Chuhsing Kate Hsiao ; Hui-Huang Hsu ; Luke Jun Huan ; Kun Huang ; Yufei Huang ; Rui Jiang ; William Klement ; Guo-Zheng Li ; Bo Luo ; Martin Michalowski ; Jurg Ott ; Quan Pan ; Taesung Park ; Linda Pattini ; Brian Potetz ; Xiaofeng Song ; Dympna O'Sullivan ; Hao Sun ; Vincent S. Tseng ; Yiqin Wang ; FangXiang Wu ; Dan Xi ; Siu Ming Yiu ; Shaowu Zhang ; Zhongming Zhao ; Huiru Zheng. California : IEEE, 2010. pp. 609-612 (IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW).

@inproceedings{21cbd2c75f4a4cb593b9ba2dd101fac8,

title = "Getting started in text mining to find the biological network shared with rheumatoid arthritis, coronary heart disease and diabetes mellitus",

abstract = "In order to contribute to biomedical text extraction and mining in the field of modern research of pattern in traditional Chinese medicine (TCM), MeSH mining method was used in this study. Based on {"}Different diseases with same pattern{"} theory in TCM, rheumatoid arthritis, coronary heart disease and diabetes mellitus were selected to explore the potential biological network shared in these three diseases. By means of association analysis method, four main network were presented including oxidation reduction, apoptosis, vascularization and sex hormone. It suggested that text mining could be the starting for the modern research on pattern in TCM.",

keywords = "Coronary heart disease, Diabetes mellitus, MeSH, Pattern, Rheumatoid arthritis, Text mining",

author = "Xiaorong Ding and Aiping Lu and Qinglin Zha",

note = "This study is supported in part by the projects from The Innovative Methodology Project supported by MOST of China (2008IM020900), The 2nd Special National Postdoctorate Scientific Research (No.200902184) and Freedom Selecting Research of China Academy of Chinese Medical Sciences (No. Z02125). Publisher Copyright: {\textcopyright}2010 IEEE; 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010 ; Conference date: 18-12-2010 Through 21-12-2010",

year = "2010",

month = dec,

day = "18",

doi = "10.1109/BIBMW.2010.5703870",

language = "English",

isbn = "9781424483037",

series = "IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW",

publisher = "IEEE",

pages = "609--612",

editor = "Bernardo, \{Diego di\} and Chan, \{Ting Fung\} and Jake Chen and Xin Chen and Xuewen Chen and Yidong Chen and Xiaodong Cheng and Cho, \{H. Gue\} and Young-Rae Cho and Francisco Couto and Davuluri, \{Ramana V.\} and Lin Gao and Guzzi, \{Pietro Hiram\} and Hsiao, \{Chuhsing Kate\} and Hui-Huang Hsu and Huan, \{Luke Jun\} and Kun Huang and Yufei Huang and Rui Jiang and William Klement and Guo-Zheng Li and Bo Luo and Martin Michalowski and Jurg Ott and Quan Pan and Taesung Park and Linda Pattini and Brian Potetz and Xiaofeng Song and Dympna O'Sullivan and Hao Sun and Tseng, \{Vincent S.\} and Yiqin Wang and FangXiang Wu and Dan Xi and Yiu, \{Siu Ming\} and Shaowu Zhang and Zhongming Zhao and Huiru Zheng",

booktitle = "2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010",

address = "United States",

url = "https://ieeexplore.ieee.org/xpl/conhome/5695144/proceeding",

}

Ding, X, Lu, A & Zha, Q 2010, Getting started in text mining to find the biological network shared with rheumatoid arthritis, coronary heart disease and diabetes mellitus. in DD Bernardo, TF Chan, J Chen, X Chen, X Chen, Y Chen, X Cheng, HG Cho, Y-R Cho, F Couto, RV Davuluri, L Gao, PH Guzzi, CK Hsiao, H-H Hsu, LJ Huan, K Huang, Y Huang, R Jiang, W Klement, G-Z Li, B Luo, M Michalowski, J Ott, Q Pan, T Park, L Pattini, B Potetz, X Song, D O'Sullivan, H Sun, VS Tseng, Y Wang, F Wu, D Xi, SM Yiu, S Zhang, Z Zhao & H Zheng (eds), 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010. IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW, IEEE, California, pp. 609-612, 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, Hong Kong, China, 18/12/10. https://doi.org/10.1109/BIBMW.2010.5703870

Getting started in text mining to find the biological network shared with rheumatoid arthritis, coronary heart disease and diabetes mellitus. / Ding, Xiaorong; Lu, Aiping; Zha, Qinglin.
2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010. ed. / Diego di Bernardo; Ting Fung Chan; Jake Chen; Xin Chen; Xuewen Chen; Yidong Chen; Xiaodong Cheng; H. Gue Cho; Young-Rae Cho; Francisco Couto; Ramana V. Davuluri; Lin Gao; Pietro Hiram Guzzi; Chuhsing Kate Hsiao; Hui-Huang Hsu; Luke Jun Huan; Kun Huang; Yufei Huang; Rui Jiang; William Klement; Guo-Zheng Li; Bo Luo; Martin Michalowski; Jurg Ott; Quan Pan; Taesung Park; Linda Pattini; Brian Potetz; Xiaofeng Song; Dympna O'Sullivan; Hao Sun; Vincent S. Tseng; Yiqin Wang; FangXiang Wu; Dan Xi; Siu Ming Yiu; Shaowu Zhang; Zhongming Zhao; Huiru Zheng. California: IEEE, 2010. p. 609-612 (IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

TY - GEN

T1 - Getting started in text mining to find the biological network shared with rheumatoid arthritis, coronary heart disease and diabetes mellitus

AU - Ding, Xiaorong

AU - Lu, Aiping

AU - Zha, Qinglin

N1 - This study is supported in part by the projects from The Innovative Methodology Project supported by MOST of China (2008IM020900), The 2nd Special National Postdoctorate Scientific Research (No.200902184) and Freedom Selecting Research of China Academy of Chinese Medical Sciences (No. Z02125). Publisher Copyright: ©2010 IEEE

PY - 2010/12/18

Y1 - 2010/12/18

N2 - In order to contribute to biomedical text extraction and mining in the field of modern research of pattern in traditional Chinese medicine (TCM), MeSH mining method was used in this study. Based on "Different diseases with same pattern" theory in TCM, rheumatoid arthritis, coronary heart disease and diabetes mellitus were selected to explore the potential biological network shared in these three diseases. By means of association analysis method, four main network were presented including oxidation reduction, apoptosis, vascularization and sex hormone. It suggested that text mining could be the starting for the modern research on pattern in TCM.

AB - In order to contribute to biomedical text extraction and mining in the field of modern research of pattern in traditional Chinese medicine (TCM), MeSH mining method was used in this study. Based on "Different diseases with same pattern" theory in TCM, rheumatoid arthritis, coronary heart disease and diabetes mellitus were selected to explore the potential biological network shared in these three diseases. By means of association analysis method, four main network were presented including oxidation reduction, apoptosis, vascularization and sex hormone. It suggested that text mining could be the starting for the modern research on pattern in TCM.

KW - Coronary heart disease

KW - Diabetes mellitus

KW - MeSH

KW - Pattern

KW - Rheumatoid arthritis

KW - Text mining

UR - https://www.scopus.com/pages/publications/79952022708

UR - https://ieeexplore.ieee.org/document/5703870

U2 - 10.1109/BIBMW.2010.5703870

DO - 10.1109/BIBMW.2010.5703870

M3 - Conference proceeding

AN - SCOPUS:79952022708

SN - 9781424483037

T3 - IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW

SP - 609

EP - 612

BT - 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010

A2 - Bernardo, Diego di

A2 - Chan, Ting Fung

A2 - Chen, Jake

A2 - Chen, Xin

A2 - Chen, Xuewen

A2 - Chen, Yidong

A2 - Cheng, Xiaodong

A2 - Cho, H. Gue

A2 - Cho, Young-Rae

A2 - Couto, Francisco

A2 - Davuluri, Ramana V.

A2 - Gao, Lin

A2 - Guzzi, Pietro Hiram

A2 - Hsiao, Chuhsing Kate

A2 - Hsu, Hui-Huang

A2 - Huan, Luke Jun

A2 - Huang, Kun

A2 - Huang, Yufei

A2 - Jiang, Rui

A2 - Klement, William

A2 - Li, Guo-Zheng

A2 - Luo, Bo

A2 - Michalowski, Martin

A2 - Ott, Jurg

A2 - Pan, Quan

A2 - Park, Taesung

A2 - Pattini, Linda

A2 - Potetz, Brian

A2 - Song, Xiaofeng

A2 - O'Sullivan, Dympna

A2 - Sun, Hao

A2 - Tseng, Vincent S.

A2 - Wang, Yiqin

A2 - Wu, FangXiang

A2 - Xi, Dan

A2 - Yiu, Siu Ming

A2 - Zhang, Shaowu

A2 - Zhao, Zhongming

A2 - Zheng, Huiru

PB - IEEE

CY - California

T2 - 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops

Y2 - 18 December 2010 through 21 December 2010

ER -

Ding X, Lu A, Zha Q. Getting started in text mining to find the biological network shared with rheumatoid arthritis, coronary heart disease and diabetes mellitus. In Bernardo DD, Chan TF, Chen J, Chen X, Chen X, Chen Y, Cheng X, Cho HG, Cho YR, Couto F, Davuluri RV, Gao L, Guzzi PH, Hsiao CK, Hsu HH, Huan LJ, Huang K, Huang Y, Jiang R, Klement W, Li GZ, Luo B, Michalowski M, Ott J, Pan Q, Park T, Pattini L, Potetz B, Song X, O'Sullivan D, Sun H, Tseng VS, Wang Y, Wu F, Xi D, Yiu SM, Zhang S, Zhao Z, Zheng H, editors, 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010. California: IEEE. 2010. p. 609-612. (IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW). doi: 10.1109/BIBMW.2010.5703870

Getting started in text mining to find the biological network shared with rheumatoid arthritis, coronary heart disease and diabetes mellitus

Abstract

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UN SDGs

User-Defined Keywords

Access to Document

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