MeSHSim: An R/Bioconductor package for measuring semantic similarity over MeSH headings and MEDLINE documents

All recent MEDLINE documents are indexed by Medical Subject Headings (MeSH). Computing semantic similarity between two MeSH headings as well as two documents has become very important for many biomedical text mining applications. We develop an R package, MeSHSim, which can compute nine similarity me...

Full description

Saved in:
Bibliographic Details
Published in2015 34th Chinese Control Conference (CCC) pp. 8535 - 8539
Main Authors Zhou Jing, Shui Yuxuan, Peng Shengwen, Li Xuhui, Mamitsuka, Hiroshi, Zhu Shanfeng
Format Conference Proceeding Journal Article
LanguageEnglish
Published Technical Committee on Control Theory, Chinese Association of Automation 01.07.2015
Subjects
Bioinformatics
Biomedical measurement
Body regions
Computation
Conferences
Electronic mail
Hierarchies
Length measurement
Licenses
MEDLINE documents
MeSH
Packages
R/Bioconductor Package
Semantic Similarity
Semantics
Similarity
Tasks
Text mining
Texts
Online AccessGet full text
ISSN1934-1768
DOI10.1109/ChiCC.2015.7260989

Cover

More Information
Summary:All recent MEDLINE documents are indexed by Medical Subject Headings (MeSH). Computing semantic similarity between two MeSH headings as well as two documents has become very important for many biomedical text mining applications. We develop an R package, MeSHSim, which can compute nine similarity measures between MeSH nodes, by which similarity between MeSH Headings as well as MEDLINE documents can be computed. In addition, MeSHSim supports querying hierarchy information of a MeSH heading and retrieving MeSH headings of a query document. It can be easily integrated into pipelines for any biomedical text analysis tasks. MeSHSim is released under GPL(General Public License), and available through Bioconductor and from Github at https://github.com/JingZhou2015/MeSHSim.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Conference-1
ObjectType-Feature-3
content type line 23
SourceType-Conference Papers & Proceedings-2
ISSN:1934-1768
DOI:10.1109/ChiCC.2015.7260989