实施公共卫生分析服务:启用元地图的网格

K. Davis, R. C. Price, J. Facelli
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引用次数: 0

摘要

公共卫生数据可用于协助公共卫生监测和决策支持。然而,在大多数情况下,必须将数据转换为编码格式,以使其可计算并且易于进行准实时分析处理。自然语言处理(NLP)系统旨在以标准格式准确提取和编码生物医学信息,在监测中具有很大的潜力。NLP方法的实现是复杂、困难和昂贵的。在大多数情况下,其实施远远超出了公共卫生组织现有的技术专长和资源。将NLP系统作为一种服务提供,可以极大地改善公共卫生官员对这种方法的使用,并有可能加强疾病监测。MetaMap是一个综合性的生物医学NLP系统,已被证明在许多应用中表现良好。我们描述了如何将MetaMap实现为网格服务,以使其可供公共卫生界使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementing public health analytical services: Grid enabling of MetaMap
Public health data could be used to assist with public health surveillance and decision support. However, in most cases data has to be transformed into a coded format to make it computable and amiable to quasi real time analytical processing. Natural language processing (NLP) systems, which aim to accurately extract and encode biomedical information in a standard format, have a great potential in surveillance. NLP methods are complex, difficult, and expensive to implement. Its implementation, in most cases, is well beyond the technical expertise and resources available in Public Health organizations. Making NLP systems available as a service can greatly improve access to this methodology by public health officials and potentially enhance disease surveillance. MetaMap is a comprehensive biomedical NLP system, and has been shown to perform well for numerous applications. We describe how we have implemented MetaMap as a grid service to make it available to the public health community.
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