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. 2016 Jul 20:2016:140-9.
eCollection 2016.

An automated system for retrieving herb-drug interaction related articles from MEDLINE

Kuo Lin  1 , Carol Friedman  1 , Joseph Finkelstein  1
Affiliations

An automated system for retrieving herb-drug interaction related articles from MEDLINE

Kuo Lin et al. AMIA Jt Summits Transl Sci Proc. .

Abstract

An automated, user-friendly and accurate system for retrieving herb-drug interaction (HDIs) related articles in MEDLINE can increase the safety of patients, as well as improve the physicians' article retrieving ability regarding speed and experience. Previous studies show that MeSH based queries associated with negative effects of drugs can be customized, resulting in good performance in retrieving relevant information, but no study has focused on the area of herb-drug interactions (HDI). This paper adapted the characteristics of HDI related papers and created a multilayer HDI article searching system. It achieved a sensitivity of 92% at a precision of 93% in a preliminary evaluation. Instead of requiring physicians to conduct PubMed searches directly, this system applies a more user-friendly approach by employing a customized system that enhances PubMed queries, shielding users from having to write queries, dealing with PubMed, or reading many irrelevant articles. The system provides automated processes and outputs target articles based on the input.

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Figures

Figure 1.
Figure 1.
Overview of the methodological framework
Figure 2.
Figure 2.
Structure of broad query
Figure 3.
Figure 3.
Broad query for drug “Dextromethorphan” and herb “St. John’s wort”
Figure 4.
Figure 4.
Information in an article related to the interaction between Echinacea and Midazolam
Figure 5.
Figure 5.
Scoring process for Herb Term scorer.
Figure 6.
Figure 6.
Error case for sensitivity in evaluation results
Figure 7.
Figure 7.
Error case for precision in evaluation results
See this image and copyright information in PMC

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