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

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 ass...

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Main Authors:	Lin, Kuo, Friedman, Carol, Finkelstein, Joseph
Format:	Online
Language:	English
Published:	American Medical Informatics Association 2016
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5001778/

id	pubmed-5001778
recordtype	oai_dc
spelling	pubmed-50017782016-08-26 An automated system for retrieving herb-drug interaction related articles from MEDLINE Lin, Kuo Friedman, Carol Finkelstein, Joseph Articles 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. American Medical Informatics Association 2016-07-20 /pmc/articles/PMC5001778/ /pubmed/27570662 Text en ©2016 AMIA - All rights reserved. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose
repository_type	Open Access Journal
institution_category	Foreign Institution
institution	US National Center for Biotechnology Information
building	NCBI PubMed
collection	Online Access
language	English
format	Online
author	Lin, Kuo Friedman, Carol Finkelstein, Joseph
spellingShingle	Lin, Kuo Friedman, Carol Finkelstein, Joseph An automated system for retrieving herb-drug interaction related articles from MEDLINE
author_facet	Lin, Kuo Friedman, Carol Finkelstein, Joseph
author_sort	Lin, Kuo
title	An automated system for retrieving herb-drug interaction related articles from MEDLINE
title_short	An automated system for retrieving herb-drug interaction related articles from MEDLINE
title_full	An automated system for retrieving herb-drug interaction related articles from MEDLINE
title_fullStr	An automated system for retrieving herb-drug interaction related articles from MEDLINE
title_full_unstemmed	An automated system for retrieving herb-drug interaction related articles from MEDLINE
title_sort	automated system for retrieving herb-drug interaction related articles from medline
description	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.
publisher	American Medical Informatics Association
publishDate	2016
url	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5001778/
_version_	1613637594150600704

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

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