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BMC Complementary Medicine and Therapies

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Open Access 01-12-2017 | Software

DisArticle: a web server for SVM-based discrimination of articles on traditional medicine

Authors: Sang-Kyun Kim, SeJin Nam, SangHyun Kim

Published in: BMC Complementary Medicine and Therapies | Issue 1/2017

Abstract

Background

Much research has been done in Northeast Asia to show the efficacy of traditional medicine. While MEDLINE contains many biomedical articles including those on traditional medicine, it does not categorize those articles by specific research area. The aim of this study was to provide a method that searches for articles only on traditional medicine in Northeast Asia, including traditional Chinese medicine, from among the articles in MEDLINE.

Results

This research established an SVM-based classifier model to identify articles on traditional medicine. The TAK + HM classifier, trained with the features of title, abstract, keywords, herbal data, and MeSH, has a precision of 0.954 and a recall of 0.902. In particular, the feature of herbal data significantly increased the performance of the classifier. By using the TAK + HM classifier, a total of about 108,000 articles were discriminated as articles on traditional medicine from among all articles in MEDLINE. We also built a web server called DisArticle (http://informatics.kiom.re.kr/disarticle), in which users can search for the articles and obtain statistical data.

Conclusions

Because much evidence-based research on traditional medicine has been published in recent years, it has become necessary to search for articles on traditional medicine exclusively in literature databases. DisArticle can help users to search for and analyze the research trends in traditional medicine.

Available only for authorised users

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Title: DisArticle: a web server for SVM-based discrimination of articles on traditional medicine
Authors: Sang-Kyun Kim
SeJin Nam
SangHyun Kim
Publication date: 01-12-2017
Publisher: BioMed Central
Published in: BMC Complementary Medicine and Therapies / Issue 1/2017
Electronic ISSN: 2662-7671
DOI: https://doi.org/10.1186/s12906-017-1596-4

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DisArticle: a web server for SVM-based discrimination of articles on traditional medicine

Abstract

Background

Results

Conclusions

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Abstract

Background

Results

Conclusions

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