为改善公共卫生信息获取情况而进行的干预措施建模。
Modeling interventions to improve access to public health information.
作者信息
Liddy Elizabeth D, Turner Anne M, Bradley Jana
机构信息
Center for National Language Processing, Syracuse University, Syracuse, NY and Oregon Health & Science University, Portland, OR, USA.
出版信息
AMIA Annu Symp Proc. 2003;2003:909.
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.
在罗伯特·伍德·约翰逊基金会资助的一个项目中，我们建立了一种基于模型的方法，用于自动分析和呈现报道公共卫生（PH）干预措施的灰色文献。我们总结了公共卫生文献干预模型的开发情况，并提供了一个关于实施自然语言技术以改善获取难以找到的公共卫生信息的项目进展情况。
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