title: Modeling interventions to improve access to public health information.
abstract: 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.
authors.affiliation: Center for National Language Processing, Syracuse University, Syracuse, NY and Oregon Health & Science University, Portland, OR, USA.
authors.forename: Elizabeth D
authors.initials: ED
authors.lastname: Liddy
authors.forename: Anne M
authors.initials: AM
authors.lastname: Turner
authors.forename: Jana
authors.initials: J
authors.lastname: Bradley
mesh_terms: D000465:Algorithms; D006801:Humans; D016247:Information Storage and Retrieval; D020407:Internet; D008962:Models, Theoretical; D009323:Natural Language Processing; D040442:Public Health Informatics; D011642:Publications