Mendonca EA, Cimino JJ, Automated knowledge extraction from Medline citations, J. Am Med. Informatics Assn.Suppl. p.575-579, 2000
Eugene Garfield
garfield at CODEX.CIS.UPENN.EDU
Tue Jul 9 12:21:21 EDT 2002
E.A. Mendonca : Email: mendonca at dmi.columbia.edu
Full text of article available at :
http://www.amia.org/pubs/symposia/D200362.PDF
FN ISI Export Format
VR 1.0
PT Journal
AU Mendonca, EA
Cimino, JJ
TI Automated knowledge extraction from MEDLINE citations
SO JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
LA English
DT Article
NR 19
SN 1067-5027
PU HANLEY & BELFUS INC
C1 Columbia Univ, Dept Med Informat, New York, NY USA
Columbia Univ, Dept Med Informat, New York, NY USA
ID CLINICAL QUESTIONS; INFORMATION; PHYSICIANS; NEEDS
AB As part of preliminary studies for the development of a digital
library, we have studied the possibility of using the co-
occurrence of MeSH terms in MEDLINE citations associated with
the search strategies optimal for evidence-based medicine to
automate construction of a knowledge base. We use the: UMLS
semantic types in order to analyze search results to determine
which semantic types are most relevant for different types of
questions (etiology, diagnosis, therapy, and prognosis). The
automated process generated;a large amount of information.
Seven to eight percent of the semantic pairs generated in each
clinical task group co-occur significantly more often than can
be accounted for by chance. A pilot study showed good
specificity and sensitivity for the intended purposes of this
project in all groups.
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TC 0
BP 575
EP 579
PG 5
JI J. Am. Med. Inf. Assoc.
PY 2000
SU S
GA 458RC
PI PHILADELPHIA
RP Mendonca EA
Columbia Univ, Dept Med Informat, New York, NY USA
J9 J AMER MED INFORM ASSOC
PA 210 S 13TH ST, PHILADELPHIA, PA 19107 USA
UT ISI:000170207500118
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