@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}",
note = "Publisher Copyright: {\textcopyright} 2018 European Federation for Medical Informatics (EFMI) and IOS Press.; 40th Medical Informatics in Europe Conference, MIE 2018 ; Conference date: 24-04-2018 Through 26-04-2018",
year = "2018",
doi = "10.3233/978-1-61499-852-5-661",
language = "English",
volume = "247",
series = "Studies in health technology and informatics",
publisher = "IOS Press BV",
pages = "661--665",
editor = "Adrien Ugon and Daniel Karlsson and Klein, {Gunnar O.} and Anne Moen",
booktitle = "Building Continents of Knowledge in Oceans of Data",
address = "Netherlands",
}
