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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
Representing clinical questions by semantic type for better classification
Tetsuya Kobayashi1, Chi-Ren Shyu
1Department of Computer Science, University of Missouri, Columbia, MO 65211, USA.
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.
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