MeSH indexing
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In this paper, we evaluate the impact of different text representations of biomedical texts as features for reproducing the MeSH annotations of some of the most frequent MeSH headings. In addition to unigrams and bigrams, these features include noun phrases, citation meta-data, citation structure, and semantic annotation of the citations.
12p vikentucky2711 24-11-2020 9 3 Download
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Identification of associations between marketed drugs and adverse events from the biomedical literature assists drug safety monitoring efforts. Assessing the significance of such literature-derived associations and determining the granularity at which they should be captured remains a challenge.
17p vioklahoma2711 19-11-2020 16 1 Download
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database maintained by the National Library of Medicine1 (NLM), which incorporates around 40,000 Health Sciences papers each month. Researchers depend on these electronic resources to keep abreast of their rapidly changing field. In order to maintain and update vital indexing references such as the Unified Medical Language System (UMLS) resources, the MeSH and SPECIALIST vocabularies, the NLM staff needs to review 400,000 highly-technical papers each year.
8p bunbo_1 17-04-2013 37 1 Download