2 引文 斯高帕斯(Scopus)

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
編輯Adrien Ugon, Daniel Karlsson, Gunnar O. Klein, Anne Moen
發行者IOS Press BV
頁面661-665
頁數5
247
ISBN(電子)9781614998518
DOIs
出版狀態已發佈 - 2018
事件40th Medical Informatics in Europe Conference, MIE 2018 - Gothenburg, 瑞典
持續時間: 4月 24 20184月 26 2018

出版系列

名字Studies in health technology and informatics
ISSN(列印)0926-9630

其他

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

ASJC Scopus subject areas

  • 生物醫學工程
  • 健康資訊學
  • 健康資訊管理

指紋

深入研究「An automated technique to construct a knowledge base of traditional Chinese herbal medicine for cancers: An exploratory study for breast cancer」主題。共同形成了獨特的指紋。

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