ライフサイエンスコーパス: MeSH

1 MeSH enables the extraction of broader meaning from the

2 MeSH terms and subheadings are organized in a hierarchic

3 We introduce a MeSH-based method that accurately quantifies similarity

4 Using a MeSH profile-based strategy, we were able to achieve max

5 to integrate multiple evidence for accurate MeSH annotation by using 'learning to rank'.

6 bulary statistics from titles, abstracts and MeSH terms to identify the most frequently occurring key

7 e MMPA-CoA pathway for MMPA assimilation and MeSH production.

8 sses the two challenges in both citation and MeSH sides.

9 ine names compiled from ATCC, Hyper CLDB and MeSH.

10 ation analysis, hierarchical clustering, and MeSH term filtration) were performed on isolated culture

11 ed on the UMLS, which contains SNOMED CT and MeSH, significantly outperformed those based solely on S

12 ing a combination of linguistic features and MeSH terms.

13 and a digital abstract containing the GO and MeSH annotations in the NLM/PubMed format.

14 e source-text by looking at word, N-gram and MeSH-term distributions.

15 evant proportions of bonded forms of H2S and MeSH (93% and 47% on average); (2) such % decreases with

16 fter 7weeks of anoxia levels of free H2S and MeSH were high and similar regardless of the copper trea

17 Free and total forms of H2S and MeSH were measured at different times.

18 formation dominates for whites and roses and MeSH.

19 o challenging aspects: the citation side and MeSH side.

20 od relies on co-occurrence of text words and MeSH terms to find keywords that are related to each MeS

21 proves the performance of a state-of-the-art MeSH indexer.

22 texts using controlled vocabularies such as MeSH can be automated to improve text-only IR.

23 re analyzed on the basis of indexer-assigned MeSH terms.

24 e, Medical Text Indexer (MTI), for assisting MeSH annotation, which uses k-nearest neighbors (KNN), p

25 separately), can also be used for automatic MeSH annotation.

26 Furthermore, the automatic MeSH annotation system we propose is highly scalable and

27 ucted using key words in combination as both MeSH terms and text words.

28 types of information, such as prediction by MeSH classifiers (trained separately), can also be used

29 h the keywords for MeSH terms, and candidate MeSH terms are ranked based on their relatedness to the

30 pus and the MEDIC vocabulary, which combines MeSH(R) and OMIM.

31 sing our framework, users can easily conduct MeSH ORA.

32 similarity measures derived from SNOMED CT, MeSH, and the UMLS on recently developed semantic simila

33 R packages, including MeSH.db, MeSH.AOR.db, MeSH.PCR.db, the org.MeSH.XXX.db-type packages, MeSHDbi,

34 six types of R packages, including MeSH.db, MeSH.AOR.db, MeSH.PCR.db, the org.MeSH.XXX.db-type packa

35 g, MTI and the correlation between different MeSH terms, etc.

36 ological cross mappings resource between DO, MeSH and OMIM (e.g. GeneWiki).

37 Each MeSH classifier is trained independently, and thus predi

38 might have to be tuned individually for each MeSH heading.

39 ms to find keywords that are related to each MeSH term.

40 Biologists can use either MeSH terms as queries or the MeSH interface provided in

41 By utilizing the enriched MeSH terms, related PubMed documents can be retrieved an

42 However, the existing MeSH ORA software platforms are still not sufficient for

43 which allows users to enter queries to find MeSH terms closely related to the queries.

44 and EMBASE was completed using the following MeSH search terms: quality of life, burnout, surgeon, su

45 effectively integrate multiple evidence for MeSH annotation.

46 query is then matched with the keywords for MeSH terms, and candidate MeSH terms are ranked based on

47 pper levels, related to lower levels of free MeSH, and norisoprenoids, responsible for white fruit an

48 eSH annotations of some of the most frequent MeSH headings.

49 Evidence includes numerous predictions from MeSH classifiers, KNN, pattern matching, MTI and the cor

50 ning a selection of adverse event terms from MeSH, based on information content, can improve the dete

51 ll with large amounts of text using the full MeSH thesaurus.

52 d symbols, links to annotation data from GO, MeSH and PubMed and normalizes the descriptions of inter

53 pathways and PubMed Medical Subject Heading (MeSH) terms, and performed pathway enrichment and pathwa

54 pts in the form of Medical Subject Headings (MeSH terms) obtained from the PubMed database that are s

55 Medical Subject Headings (MeSH((R))) is a controlled vocabulary for indexing and s

56 System (UMLS) and Medical Subject Headings (MeSH) are widely used for biomedical natural language pr

57 Ontology (GO) and Medline Subject Headings (MeSH) categorization of text passages, the retrieval of

58 g as reference the Medical Subject Headings (MeSH) controlled vocabulary.

59 MetDisease uses Medical Subject Headings (MeSH) disease terms mapped to PubChem compounds through

60 Medical Subject Headings (MeSH) indexing, which is to assign a set of MeSH main he

61 Recently, Medical Subject Headings (MeSH) terms, which are annotations of PubMed documents,

62 laries such as the Medical Subject Headings (MeSH) thesaurus and the Gene Ontology (GO) provide an ef

63 Gene Ontology, the Medical Subject Headings (MeSH), OMIM and the Digital Anatomist Symbolic Knowledge

64 Medical Subject Headings (MeSHs) are used by National Library of Medicine (NLM) to

65 g PubMed, MEDLINE (Medical Subject Headings [MeSH]), and EMBASE to include recently published treatme

66 from descriptions of TF-related concepts in MeSH and GO, PPI data and data representing non-protein-

67 l or ethnic minority groups was reported (in MeSH terms, journal titles, and MEDLINE fields) in less

68 mposed of six types of R packages, including MeSH.db, MeSH.AOR.db, MeSH.PCR.db, the org.MeSH.XXX.db-t

69 ovides a natural way of combining individual MeSH vocabularies.

70 rning algorithms and features for individual MeSH headings could further increase the performance of

71 s, MEDLINE fields (title, abstract, journal, MeSH and chemical) and terms (MeSH qualifiers and descri

72 versus VKA-ICH using an appropriate keyword/MeSH term search strategy.

73 terms by aggregating them into higher-level MeSH terms based on the terms' information content.

74 erms of reproducing and complementing manual MeSH annotations.

75 asurements demonstrate to what extent manual MeSH annotations can be reproduced and how they can be c

76 in the development of H2S and methanethiol (MeSH) along anoxic storage of wines, 24 wines were store

77 ase the levels of free H2S and methanethiol (MeSH); 2) slow the rate at which free H2S (not MeSH) inc

78 ors to hydrogen sulfide (H2S), methanethiol (MeSH), ethanethiol (EtSH), and dimethyl sulfide (DMS) we

79 This pathway releases methanethiol (MeSH) instead of the climatically active gas dimethylsul

80 emethylation pathway, yielding methanethiol (MeSH), which is readily assimilated or oxidized.

81 Copper and pH were important in modulating MeSH and EtSH accumulation in wines.

82 SH); 2) slow the rate at which free H2S (not MeSH) increases during anoxic storage.

83 rent methods of automating the assignment of MeSH concepts have been proposed to replace manual annot

84 nguage publications using the combination of MeSH terms, free terms, and key words.

85 h extensive cross mapping and integration of MeSH, ICD, NCI's thesaurus, SNOMED CT and OMIM disease-s

86 (MeSH) indexing, which is to assign a set of MeSH main headings to citations, is crucial for many imp

87 We prove that sets of MeSH terms provide a highly descriptive representation o

88 heritable disease and that the structure of MeSH provides a natural way of combining individual MeSH

89 they are either limited to a small subset of MeSH or have only been compared with a limited number of

90 In particular, we explore the use of MeSH terms, manually assigned to documents by trained an

91 OMIM((R)) and evaluate the results based on MeSH((R)) term assignments.

92 ge with Cytoscape; query facilities based on MeSH/GO terms and other concepts; approximate graph matc

93 h have been previously used and a novel one: MeSH terms.

94 performed those based solely on SNOMED CT or MeSH across evaluations.

95 g MeSH.db, MeSH.AOR.db, MeSH.PCR.db, the org.MeSH.XXX.db-type packages, MeSHDbi, and meshr.

96 In this work, we developed an original MeSH ORA framework composed of six types of R packages,

97 50, 0.1435 and 0.1782, respectively, for our MeSH term-based method versus the maximum baseline score

98 In particular, MeSH terms have proved to be useful and should be used i

99 This pathway and the ability to produce MeSH from MMPA are present in diverse bacteria, and the

100 ed by the NLM Indexing Initiative to provide MeSH indexing recommendations to indexers.

101 a medical librarian, we identified relevant MeSH terms and used them for searching the literature: h

102 and EMBASE (2002-April 2012) using relevant MeSH terms and keywords.

103 nowledge from existing biological resources (MeSH and GO) to engineer such features.

104 Large-scale MeSH indexing has two challenging aspects: the citation

105 es deep semantic information for large-scale MeSH indexing.

106 We compare the performance of six MeSH classification systems [MetaMap, EAGL, a language a

107 re is no convenient way to link standardized MeSH terms to user queries.

108 nput to MTI to use in the task of suggesting MeSH headings to indexers.

109 ract, journal, MeSH and chemical) and terms (MeSH qualifiers and descriptors, keywords, author, gene

110 nes and proteins), GO (Gene Ontology) terms, MeSH (Medical Subject Headings) terms, pathways and prot

111 The MeSH side challenge is solved by using the 'learning to

112 identify observational studies, we added the MeSH terms case-control study and retrospective study.

113 les found with the keyword "surgery" and the MeSH term for statins "hydroxymethylglutaryl-CoA reducta

114 data sources (e.g. TF-related data from the MeSH thesaurus and GO ontology) or potentially noisy exa

115 we pool genes within disease subtrees in the MeSH taxonomy, and we demonstrate that such pooling impr

116 dexing performance might be dependent on the MeSH heading being indexed.

117 can use either MeSH terms as queries or the MeSH interface provided in PubMed((R)) for searching Pub

118 edical texts as features for reproducing the MeSH annotations of some of the most frequent MeSH headi

119 the past three months that are linked to the MeSH term 'neoplasms"; (2) 'using a neuropeptide precurs

120 arches from 1966 through June 1997 using the MeSH headings of "taste," "taste buds," "taste disorders

121 matic literature search in MEDLINE using the MeSH headings, "death, sudden" OR the terms "sudden card

122 A MEDLINE search was performed using the MeSH term cardiovascular disease limited to randomized c

123 omplete publications were obtained using the MeSH terms procalcitonin, C-reactive protein, sepsis, an

124 mbase was undertaken in April 2016 using the MeSH terms: patient participation and critical care.

125 Two thirds of articles indexed with the MeSH term cost control did not include cost figures.

126 A MEDLINE search was conducted with the MeSH terms angioedema, acquired angioedema, hereditary a

127 hyl thioacetate were important precursors to MeSH, and produced maximum yields of 72% and 33%, respec

128 It will map query results to MeSH topics to facilitate the exploration of the biologi

129 The search used MeSH terminology such as periodontal maintenance, emotio

130 t word $ in the abstract and the most useful MeSH index term of cost-benefit analysis appeared with n

131 Database searches were performed using MeSH terms, keywords, and title words.

132 ed and Cochrane Library) were searched using MeSH terms: primary care, roles, and responsibilities.

133 ter of Controlled Trials were searched using MeSH, EMTREE terms, keywords, and keyword phrases for th

134 user's query is automatically annotated with MeSH concepts, compared to using the original textual qu

135 A MEDLINE search was conducted with MeSH terms: cardiogenic shock, percutaneous mechanical c

136 d bibliographic databases were searched with MeSH terms and keywords or combinations: MEDLINE through

137 ntify relevant published data regarding ZIKV MeSH searches.