• MedKit: a helper toolkit for a...

Treffer: MedKit: a helper toolkit for automatic mining of MEDLINE/PubMed citations.

Title:
MedKit: a helper toolkit for automatic mining of MEDLINE/PubMed citations.
Authors:
Ding J; Department of Electrical and Computer Engineering, Iowa State University Ames, IA 50011, USA., Berleant D
Source:
Bioinformatics (Oxford, England) [Bioinformatics] 2005 Mar 01; Vol. 21 (5), pp. 694-5. Date of Electronic Publication: 2004 Oct 27.
Publication Type:
Evaluation Study; Journal Article
Language:
English
Journal Info:
Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print-Electronic Cited Medium: Print ISSN: 1367-4803 (Print) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE
Imprint Name(s):
Original Publication: Oxford : Oxford University Press, c1998-
MeSH Terms:
Database Management Systems* , MEDLINE* , Natural Language Processing* , Periodicals as Topic* , Software* , User-Computer Interface*, Information Storage and Retrieval/*methods, Abstracting and Indexing/methods ; Artificial Intelligence ; PubMed ; Vocabulary, Controlled
Entry Date(s):
Date Created: 20041029 Date Completed: 20050624 Latest Revision: 20191210
Update Code:
20250114
DOI:
10.1093/bioinformatics/bti087
PMID:
15509599
Database:
MEDLINE

Weitere Informationen

Unlabelled: MEDLINE/PubMed is one of the most important information sources for bioinformatics text mining. However, there remain limitations in working with MEDLINE/PubMed citations. For example, PubMed imposes an upper limit of 10,000 for downloading PMID list or citations; and MEDLINE files are too large for most off-the-shelf XML parsers. We developed a Java package, MedKit, to work-around the limitations, as well as provide other useful functionalities, e.g. random sampling. Its four modules (querier, sampler, fetcher and parser) can work independently, or be pipelined in various combinations. It can be used as a stand-alone GUI application, or integrated into other text-mining systems. Text mining researchers and others may download and use the toolkit free for non-commercial purposes.
Availability: http://metnetdb.gdcb.iastate.edu/medkit
Contact: berleant@iastate.edu.