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Evidence-based medicine is the application of current medical evidence
to patient care and typically uses quantitative data from research
studies. It is increasingly driven by data on the efficacy of drug
dosages and the correlation between various medical factors that is
assembled and integrated through meta--analyses (i.e., systematic
reviews) of data in tables from publications and clinical trial
studies. We describe a a key component of a system to produce
evidence reports that performs two key functions: (i) understanding
the meaning of data in clinical trial tables and (ii) identifying and
retrieving relevant tables given a input query. We present
modifications to our existing framework for inferring the semantics of
tables and an ontology developed to model and represent clinical
tables as RDF. Finally, we demonstrate how relevant tables can be
identified by querying over their RDF representations and describe two
evaluation experiments: one on mapping clinical tables to linked data
and another on identifying tables relevant to a retrieval query.
MTO: Medical Tables Ontology
List of Query Strings used in Evaluation
Complete RDF for example table
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