Abstract：
:The potential of plant-based remedies has been documented in both traditional and contemporary biomedical literature. Such types of text sources may thus be sources from which one might identify potential plant-based therapies ("phyto-therapies"). Concept-based analytic approaches have been shown to uncover knowledge embedded within biomedical literature. However, to date there has been limited attention towards leveraging such techniques for the identification of potential phyto-therapies. This study presents concept-based analytic approaches for the retrieval and ranking of associations between plants and human diseases. Focusing on identification of phyto-therapies described in MEDLINE, both MeSH descriptors used for indexing and MetaMap inferred UMLS concepts are considered. Furthermore, the identification and ranking consider both direct (i.e., plant concepts directly correlated with disease concepts) and inferred (i.e., plant concepts associated with disease concepts based on shared signs and symptoms) relationships. Based on the two scoring methodologies used in this study, it was found that a Vector Space Model approach outperformed probabilistic reliability based inferences. An evaluation of the approach is provided based on therapeutic interventions catalogued in both ClinicalTrials.gov and NDF-RT. The promising findings from this feasibility study highlight the challenges and applicability of concept-based analytic strategies for distilling phyto-therapeutic knowledge from text based knowledge sources like MEDLINE.
journal_name
J Biomed Informjournal_title
Journal of biomedical informaticsauthors
Sharma V,Sarkar INdoi
10.1016/j.jbi.2013.04.008subject
Has Abstractpub_date
2013-08-01 00:00:00pages
602-14issue
4eissn
1532-0464issn
1532-0480pii
S1532-0464(13)00051-8journal_volume
46pub_type
杂志文章abstract：BACKGROUND:Data collection and extraction from noisy text sources such as social media typically rely on keyword-based searching/listening. However, health-related terms are often misspelled in such noisy text sources due to their complex morphology, resulting in the exclusion of relevant data for studies. In this pape...
journal_title：Journal of biomedical informatics
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journal_title：Journal of biomedical informatics
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章,meta分析
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journal_title：Journal of biomedical informatics
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journal_title：Journal of biomedical informatics
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journal_title：Journal of biomedical informatics
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journal_title：Journal of biomedical informatics
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journal_title：Journal of biomedical informatics
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doi：10.1016/j.jbi.2013.12.016
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journal_title：Journal of biomedical informatics
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journal_title：Journal of biomedical informatics
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journal_title：Journal of biomedical informatics
pub_type： 评论,杂志文章
doi：10.1016/j.jbi.2005.11.008
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2007.03.003
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2014.08.007
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2007.04.001
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
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更新日期：2018-08-01 00:00:00
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
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journal_title：Journal of biomedical informatics
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journal_title：Journal of biomedical informatics
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journal_title：Journal of biomedical informatics
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2008.04.003
更新日期：2008-12-01 00:00:00
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journal_title：Journal of biomedical informatics
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更新日期：2009-02-01 00:00:00
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更新日期：2008-02-01 00:00:00
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