Paper Info
Title
Representing clinical questions by semantic type for better classification.
Abstract
It is recognized that physicians need information that answers their questions at the point of care. Taxonomic classification of clinical domain questions is a preliminary step in developing real-time answer retrieval systems. We show that using the UMLS semantic types and machine learning algorithms improves classification performance of clinical questions for the generic taxonomic categories.
Year
Venue
Field
2006
AMIA
Biological classification,Information retrieval,Computer science,Taxonomic rank,Unified Medical Language System
DocType
ISSN
Citations 
Conference
1942-597X
2
PageRank 
References 
Authors
0.38
1
2
Name
Order
Citations
PageRank
Tetsuya Kobayashi1107.03
Chi-Ren Shyu265667.58