Modeling interventions to improve access to public health information.

AMIA Annu Symp Proc

Center for National Language Processing, Syracuse University, Syracuse, NY and Oregon Health & Science University, Portland, OR, USA.

Published: December 2004

In a Robert Wood Johnson funded project, we established a model-based means for automatically analyzing and representing grey literature that reports on public health (PH) interventions. We summarize the development of an intervention model for public health documents and provide a project update on the implementation of natural language technology to improve access to difficult to find public health information.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1480166PMC

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