@inproceedings{66a531e6fce246ae801e8ee28101132e,
title = "MedC: A Literature Analysis System for Chinese Medicine Research",
abstract = "Chinese medicine research documents a significant amount of knowledge. However, compared to Western medicine, there are limited studies that take advantage of and summarize findings based on the Chinese medicine literature. This paper builds a literature analysis system based on information extraction and visualization technologies, which allow users to select and analyze a subset of Chinese medicine literature. The system provides complex search functionalities and makes a set of analyses (summary statistics on medicine/disease/acupuncture points, medicine co-occurrence analysis, and acupuncture point analysis) available to support Chinese medicine scholars and alleviate their workload. The system may facilitate Chinese medicine research and theorization.",
keywords = "Chinese medicine, Literature analysis, Text mining, Visualization",
author = "Xin Li and Yu Tong and Wen Wang",
year = "2015",
month = nov,
doi = "10.1007/978-3-319-29175-8_29",
language = "English",
isbn = "9783319291741",
series = "Lecture Notes in Computer Science",
publisher = "Springer International Publishing ",
pages = "311--320",
editor = "Xiaolong Zheng and Zeng, {Daniel Dajun} and Hsinchun Chen and Leischow, {Scott J.}",
booktitle = "Smart Health",
address = "Switzerland",
note = "International Conference for Smart Health (ICSH 2015) ; Conference date: 17-11-2015 Through 18-11-2015",
}