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ThaiHerbMiner: a Thai herbal medicine mining and visualizing tool

Published: 23 June 2011 Publication History

Abstract

Thai Traditional Medicine (TTM) has a long history in Thailand and is nowadays considered an effective alternative approach to the modern medicine. One of the main knowledge in Thai traditional medicine is the use of various types of herbs to form medicines. Our main goal is to bridge the gap between the traditional knowledge and the modern biomedical knowledge. Using text mining and visualization techniques, some implicit relations from one source could be used to verify and enhance the knowledge discovery in another source. In this paper, we present our ongoing work, ThaiHerbMiner, a Thai herbal medicine mining and visualizing tool. ThaiHerbMiner applies text mining to extract some salient relations from a collection of PubMed articles related to Thai herbs. The extracted relations can be browsed and viewed using information visualization. Our proposed tool can also recommend a list of herbs which have similar medical properties.

References

[1]
Cohen, Aaron M. and William R. Hersh. 2005. A survey of current work in biomedical text mining. Briefings in Bioinformatics, 6(1):57--71.
[2]
He, Ping, Ke Deng, Zhihai Liu, Delin Liu, Jun S Liu and Zhi Geng. 2011. Discovering herbal functional groups of traditional Chinese medicine. Statistics in medicine, March 17, 2011.
[3]
Lukman, Suryani, Yulan He, and Siu-Cheung Hui. 2007. Computational methods for Traditional Chinese Medicine: A survey. Comput. Methods Prog. Biomed., 88(3): 283--294.

Cited By

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  • (2016)Collection of HerbalMedicinalProperty relation extracted from textsProceedings of the 8th International Conference on Management of Digital EcoSystems10.1145/3012071.3012075(158-165)Online publication date: 1-Nov-2016

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Published In

cover image DL Hosted proceedings
BioNLP '11: Proceedings of BioNLP 2011 Workshop
June 2011
199 pages
ISBN:9781932432916

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Association for Computational Linguistics

United States

Publication History

Published: 23 June 2011

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Overall Acceptance Rate 33 of 92 submissions, 36%

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  • (2016)Collection of HerbalMedicinalProperty relation extracted from textsProceedings of the 8th International Conference on Management of Digital EcoSystems10.1145/3012071.3012075(158-165)Online publication date: 1-Nov-2016

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