Developing a Biomedical Expert Finding System Using Medical Subject Headings
نویسندگان
چکیده
منابع مشابه
Developing a Biomedical Expert Finding System Using Medical Subject Headings
OBJECTIVES Efficient identification of subject experts or expert communities is vital for the growth of any organization. Most of the available expert finding systems are based on self-nomination, which can be biased, and are unable to rank experts. Thus, the objective of this work was to develop a robust and unbiased expert finding system which can quantitatively measure expertise. METHODS M...
متن کاملRanking Medical Subject Headings using a factor graph model
Automatically assigning MeSH (Medical Subject Headings) to articles is an active research topic. Recent work demonstrated the feasibility of improving the existing automated Medical Text Indexer (MTI) system, developed at the National Library of Medicine (NLM). Encouraged by this work, we propose a novel data-driven approach that uses semantic distances in the MeSH ontology for automated MeSH a...
متن کاملMetab2MeSH: annotating compounds with medical subject headings
SUMMARY Progress in high-throughput genomic technologies has led to the development of a variety of resources that link genes to functional information contained in the biomedical literature. However, tools attempting to link small molecules to normal and diseased physiology and published data relevant to biologists and clinical investigators, are still lacking. With metabolomics rapidly emergi...
متن کاملAutomated Assignment of Medical Subject Headings
Methods. A test collection of 200 MEDLINE citations published in 1997, with abstracts in English, were selected at random. The following methods of finding and ranking suitable MeSH descriptors have been investigated using this test collection: The Inquery Algorithm. This algorithm depends on parsing text into noun phrases, then using the Inquery search engine to match to MeSH descriptors. Cooc...
متن کاملCOEXPEDIA: exploring biomedical hypotheses via co-expressions associated with medical subject headings (MeSH)
The use of high-throughput array and sequencing technologies has produced unprecedented amounts of gene expression data in central public depositories, including the Gene Expression Omnibus (GEO). The immense amount of expression data in GEO provides both vast research opportunities and data analysis challenges. Co-expression analysis of high-dimensional expression data has proven effective for...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Healthcare Informatics Research
سال: 2013
ISSN: 2093-3681,2093-369X
DOI: 10.4258/hir.2013.19.4.243