A Hybrid Natural Language Approach to Manage Semantic Interoperability for Public Health Analytics

نویسندگان

  • Maxime Lavigne
  • Arash Shaban-Nejad
  • Anya Okhmatovskaia
  • Luke Mondor
  • David L. Buckeridge
چکیده

This paper discusses the integration of an ontology with a natural language query engine to calculate and interpret epidemiological indicators for population health assessment. In this paper, we discuss the application of this approach to one type of possible query, which retrieves health determinants, causally associated with diabetes mellitus.

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تاریخ انتشار 2013