Mendonca EA, Cimino JJ, Automated knowledge extraction from Medline citations, J. Am Med. Informatics Assn.Suppl. p.575-579, 2000

[Eugene Garfield]

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