MEDRank: Using graph-based concept ranking to index biomedical texts

Highlights ► We define, implement and evaluate MEDRank. ► MEDRank is a graph-based algorithm that identifies important concepts in text. ► MEDRank improves retrieval of major Medical Subject Headings by 30%. ► Terms selected by MEDRank are match human expectations better than alternatives.

Saved in:
Bibliographic Details
Published in:International journal of medical informatics (Shannon, Ireland) Ireland), 2011-06, Vol.80 (6), p.431-441
Main Authors: Herskovic, Jorge R, Cohen, Trevor, Subramanian, Devika, Iyengar, M. Sriram, Smith, Jack W, Bernstam, Elmer V
Format: Article
Language:English
Subjects:
Abstracting and indexing as topic
Abstracting and Indexing as Topic - methods
Algorithms
Artificial Intelligence
Automatic Data Processing
Digital libraries
Humans
Information Storage and Retrieval
Internal Medicine
Medical informatics
Medical Subject Headings
MEDLINE
National Library of Medicine (U.S.)
Natural language processing
Other
PubMed
Software
United States
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Highlights ► We define, implement and evaluate MEDRank. ► MEDRank is a graph-based algorithm that identifies important concepts in text. ► MEDRank improves retrieval of major Medical Subject Headings by 30%. ► Terms selected by MEDRank are match human expectations better than alternatives.
ISSN:1386-5056
1872-8243
DOI:10.1016/j.ijmedinf.2011.02.008