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Using semantic predications to characterize the clinical cardiovascular literature.
- Source :
-
AMIA ... Annual Symposium proceedings. AMIA Symposium [AMIA Annu Symp Proc] 2008 Nov 06, pp. 887. Date of Electronic Publication: 2008 Nov 06. - Publication Year :
- 2008
-
Abstract
- Using a database of semantic predications extracted from MEDLINE citations, we describe semantic characteristics of the cardiovascular literature, distinguishing therapy from diagnosis studies. Used with existing methodological filters in PubMed, the method may be useful for enhancing precision.
- Subjects :
- Algorithms
Artificial Intelligence
Cardiovascular Diseases classification
Humans
Information Storage and Retrieval methods
Internationality
Pattern Recognition, Automated methods
Semantics
Terminology as Topic
Abstracting and Indexing methods
Cardiovascular Diseases diagnosis
Cardiovascular Diseases therapy
MEDLINE
Natural Language Processing
Periodicals as Topic classification
Periodicals as Topic statistics & numerical data
Subjects
Details
- Language :
- English
- ISSN :
- 1942-597X
- Database :
- MEDLINE
- Journal :
- AMIA ... Annual Symposium proceedings. AMIA Symposium
- Publication Type :
- Academic Journal
- Accession number :
- 18999227