Journal article
MeSHmap: a text mining tool for MEDLINE
Proceedings - AMIA Symposium, Vol.2001, pp.642-646
2001
PMCID: PMC2243391
PMID: 11825264
Abstract
Our research goal is to explore text mining from the metadata included in MEDLINE documents. We present MeSHmap our prototype text mining system that exploits the MeSH indexing accompanying MEDLINE records. MeSHmap supports searches via PubMed followed by user driven exploration of the MeSH terms and subheadings in the retrieved set. The potential of the system goes beyond text retrieval. It may also be used to compare entities of the same type such as pairs of drugs or pairs of procedures etc. In addition there is the potential to generate maps of entities (drugs or diseases etc.) such that the strength of the link between two entities in the map represents their similarity as expressed in the MeSH metadata of the MEDLINE documents. Higher level operators have been proposed to support these comparison and mapping functions. This paper motivates and describes MeSHmap. Future work will include user evaluations of the system.
Details
- Title: Subtitle
- MeSHmap: a text mining tool for MEDLINE
- Creators
- P Srinivasan - School of Library & Information Science, University of Iowa, Iowa City, IA 52242, USA
- Resource Type
- Journal article
- Publication Details
- Proceedings - AMIA Symposium, Vol.2001, pp.642-646
- Publisher
- United States
- PMID
- 11825264
- PMCID
- PMC2243391
- ISSN
- 1531-605X
- Grant note
- R01 LM06909 / NLM NIH HHS
- Language
- English
- Date published
- 2001
- Academic Unit
- Nursing; Computer Science; Business Analytics
- Record Identifier
- 9984003017602771
Metrics
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