MTLD: Interpreting Medical Tables as Linked Data
January 1, 2014 - January 1, 2016
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
- V. Mulwad, "TABEL - A Domain Independent and Extensible Framework for Inferring the Semantics of Tables", PhdThesis, University of Maryland, Baltimore County, January 2015, 2390 downloads.
- V. Mulwad, T. Finin, and A. Joshi, "Interpreting Medical Tables as Linked Data to Generate Meta-Analysis Reports", InProceedings, Proceedings of the 15th IEEE International Conference on Information Reuse and Integration, August 2014, 1133 downloads.