An automated technique to construct a knowledge base of traditional Chinese herbal medicine for cancers: An exploratory study for breast cancer

Phung Anh Nguyen, Hsuan Chia Yang, Rong Xu, Yu Chuan Li

研究成果: 書貢獻/報告類型會議貢獻

摘要

Traditional Chinese Medicine utilization has rapidly increased worldwide. However, there is limited database provides the information of TCM herbs and diseases. The study aims to identify and evaluate the meaningful associations between TCM herbs and breast cancer by using the association rule mining (ARM) techniques. We employed the ARM techniques for 19.9 million TCM prescriptions by using Taiwan National Health Insurance claim database from 1999 to 2013. 364 TCM herbs-breast cancer associations were derived from those prescriptions and were then filtered by their support of 20. Resulting of 296 associations were evaluated by comparing to a gold-standard that was curated information from Chinese-Wikipedia with the following terms, cancer, tumor, malignant. All 14 TCM herbs-breast cancer associations with their confidence of 1% were valid when compared to gold-standard. For other confidences, the statistical results showed consistently with high precisions. We thus succeed to identify the TCM herbs-breast cancer associations with useful techniques.

原文英語
主出版物標題Building Continents of Knowledge in Oceans of Data
主出版物子標題The Future of Co-Created eHealth - Proceedings of MIE 2018
發行者IOS Press
頁面661-665
頁數5
ISBN(電子)9781614998518
DOIs
出版狀態已發佈 - 一月 1 2018
事件40th Medical Informatics in Europe Conference, MIE 2018 - Gothenburg, 瑞典
持續時間: 四月 24 2018四月 26 2018

出版系列

名字Studies in Health Technology and Informatics
247
ISSN(列印)0926-9630
ISSN(電子)1879-8365

其他

其他40th Medical Informatics in Europe Conference, MIE 2018
國家瑞典
城市Gothenburg
期間4/24/184/26/18

指紋

Knowledge Bases
Herbal Medicine
Association rules
Gold
Health insurance
Breast Neoplasms
Medicine
Prescriptions
Tumors
Neoplasms
Databases
Chinese Traditional Medicine
National Health Programs
Taiwan

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

引用此文

Nguyen, P. A., Yang, H. C., Xu, R., & Li, Y. C. (2018). An automated technique to construct a knowledge base of traditional Chinese herbal medicine for cancers: An exploratory study for breast cancer. 於 Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth - Proceedings of MIE 2018 (頁 661-665). (Studies in Health Technology and Informatics; 卷 247). IOS Press. https://doi.org/10.3233/978-1-61499-852-5-661

An automated technique to construct a knowledge base of traditional Chinese herbal medicine for cancers : An exploratory study for breast cancer. / Nguyen, Phung Anh; Yang, Hsuan Chia; Xu, Rong; Li, Yu Chuan.

Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth - Proceedings of MIE 2018. IOS Press, 2018. p. 661-665 (Studies in Health Technology and Informatics; 卷 247).

研究成果: 書貢獻/報告類型會議貢獻

Nguyen, PA, Yang, HC, Xu, R & Li, YC 2018, An automated technique to construct a knowledge base of traditional Chinese herbal medicine for cancers: An exploratory study for breast cancer. 於 Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth - Proceedings of MIE 2018. Studies in Health Technology and Informatics, 卷 247, IOS Press, 頁 661-665, 40th Medical Informatics in Europe Conference, MIE 2018, Gothenburg, 瑞典, 4/24/18. https://doi.org/10.3233/978-1-61499-852-5-661
Nguyen PA, Yang HC, Xu R, Li YC. An automated technique to construct a knowledge base of traditional Chinese herbal medicine for cancers: An exploratory study for breast cancer. 於 Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth - Proceedings of MIE 2018. IOS Press. 2018. p. 661-665. (Studies in Health Technology and Informatics). https://doi.org/10.3233/978-1-61499-852-5-661
Nguyen, Phung Anh ; Yang, Hsuan Chia ; Xu, Rong ; Li, Yu Chuan. / An automated technique to construct a knowledge base of traditional Chinese herbal medicine for cancers : An exploratory study for breast cancer. Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth - Proceedings of MIE 2018. IOS Press, 2018. 頁 661-665 (Studies in Health Technology and Informatics).
@inproceedings{138b28e0006c4dba8c1fd6c0bd5c8042,
title = "An automated technique to construct a knowledge base of traditional Chinese herbal medicine for cancers: An exploratory study for breast cancer",
abstract = "Traditional Chinese Medicine utilization has rapidly increased worldwide. However, there is limited database provides the information of TCM herbs and diseases. The study aims to identify and evaluate the meaningful associations between TCM herbs and breast cancer by using the association rule mining (ARM) techniques. We employed the ARM techniques for 19.9 million TCM prescriptions by using Taiwan National Health Insurance claim database from 1999 to 2013. 364 TCM herbs-breast cancer associations were derived from those prescriptions and were then filtered by their support of 20. Resulting of 296 associations were evaluated by comparing to a gold-standard that was curated information from Chinese-Wikipedia with the following terms, cancer, tumor, malignant. All 14 TCM herbs-breast cancer associations with their confidence of 1{\%} were valid when compared to gold-standard. For other confidences, the statistical results showed consistently with high precisions. We thus succeed to identify the TCM herbs-breast cancer associations with useful techniques.",
keywords = "Association rule mining, Cancers, Traditional Chinese Medicine",
author = "Nguyen, {Phung Anh} and Yang, {Hsuan Chia} and Rong Xu and Li, {Yu Chuan}",
year = "2018",
month = "1",
day = "1",
doi = "10.3233/978-1-61499-852-5-661",
language = "English",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press",
pages = "661--665",
booktitle = "Building Continents of Knowledge in Oceans of Data",
address = "United States",

}

TY - GEN

T1 - An automated technique to construct a knowledge base of traditional Chinese herbal medicine for cancers

T2 - An exploratory study for breast cancer

AU - Nguyen, Phung Anh

AU - Yang, Hsuan Chia

AU - Xu, Rong

AU - Li, Yu Chuan

PY - 2018/1/1

Y1 - 2018/1/1

N2 - Traditional Chinese Medicine utilization has rapidly increased worldwide. However, there is limited database provides the information of TCM herbs and diseases. The study aims to identify and evaluate the meaningful associations between TCM herbs and breast cancer by using the association rule mining (ARM) techniques. We employed the ARM techniques for 19.9 million TCM prescriptions by using Taiwan National Health Insurance claim database from 1999 to 2013. 364 TCM herbs-breast cancer associations were derived from those prescriptions and were then filtered by their support of 20. Resulting of 296 associations were evaluated by comparing to a gold-standard that was curated information from Chinese-Wikipedia with the following terms, cancer, tumor, malignant. All 14 TCM herbs-breast cancer associations with their confidence of 1% were valid when compared to gold-standard. For other confidences, the statistical results showed consistently with high precisions. We thus succeed to identify the TCM herbs-breast cancer associations with useful techniques.

AB - Traditional Chinese Medicine utilization has rapidly increased worldwide. However, there is limited database provides the information of TCM herbs and diseases. The study aims to identify and evaluate the meaningful associations between TCM herbs and breast cancer by using the association rule mining (ARM) techniques. We employed the ARM techniques for 19.9 million TCM prescriptions by using Taiwan National Health Insurance claim database from 1999 to 2013. 364 TCM herbs-breast cancer associations were derived from those prescriptions and were then filtered by their support of 20. Resulting of 296 associations were evaluated by comparing to a gold-standard that was curated information from Chinese-Wikipedia with the following terms, cancer, tumor, malignant. All 14 TCM herbs-breast cancer associations with their confidence of 1% were valid when compared to gold-standard. For other confidences, the statistical results showed consistently with high precisions. We thus succeed to identify the TCM herbs-breast cancer associations with useful techniques.

KW - Association rule mining

KW - Cancers

KW - Traditional Chinese Medicine

UR - http://www.scopus.com/inward/record.url?scp=85046552179&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85046552179&partnerID=8YFLogxK

U2 - 10.3233/978-1-61499-852-5-661

DO - 10.3233/978-1-61499-852-5-661

M3 - Conference contribution

C2 - 29678043

AN - SCOPUS:85046552179

T3 - Studies in Health Technology and Informatics

SP - 661

EP - 665

BT - Building Continents of Knowledge in Oceans of Data

PB - IOS Press

ER -