Representing clinical questions by semantic type for better classification.
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.
Kobayashi
Tetsuya
T
Department of Computer Science, University of Missouri, Columbia, MO 65211, USA.
Shyu
Chi-Ren
CR
D000465:Algorithms; D001185:Artificial Intelligence; D002965:Classification; D016247:Information Storage and Retrieval; D009323:Natural Language Processing; D012660:Semantics; D017432:Unified Medical Language System; D018875:Vocabulary, Controlled