@inproceedings{90dcfdce5ef543abaa14ad0327889955,
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",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; International Conference for Smart Health, ICSH 2015 ; Conference date: 17-11-2015 Through 18-11-2015",
year = "2016",
doi = "10.1007/978-3-319-29175-8\_29",
language = "English",
isbn = "9783319291741",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "311--320",
editor = "Hsinchun Chen and Zeng, \{Daniel Dajun\} and Xiaolong Zheng and Leischow, \{Scott J.\}",
booktitle = "Smart Health - International Conference, ICSH 2015, Revised Selected Papers",
address = "Germany",
}