Chen Xiang, Arnold Corey W
Medical Imaging Informatics Group, University of California - Los Angeles, USA.
Stud Health Technol Inform. 2013;192:1191.
The Unstructured Information Management Architecture (UIMA) [1] framework is a growing platform for natural language processing (NLP) applications. However, such applications may be difficult for non-technical users deploy. This project presents a web-based framework that wraps UIMA-based annotator systems into a graphical user interface for researchers and clinicians, and a web service for developers. An annotator that extracts data elements from lung cancer radiology reports is presented to illustrate the use of the system. Annotation results from the web system can be exported to multiple formats for users to utilize in other aspects of their research and workflow. This project demonstrates the benefits of a lay-user interface for complex NLP applications. Efforts such as this can lead to increased interest and support for NLP work in the clinical domain.
非结构化信息管理架构（UIMA）[1]框架是一个不断发展的自然语言处理（NLP）应用平台。然而，非技术用户可能难以部署此类应用。该项目提出了一个基于网络的框架，它将基于UIMA的注释系统包装成一个面向研究人员和临床医生的图形用户界面，以及一个面向开发者的网络服务。展示了一个从肺癌放射学报告中提取数据元素的注释器，以说明该系统的使用。网络系统的注释结果可以导出为多种格式，供用户在其研究和工作流程的其他方面使用。该项目展示了为复杂的NLP应用提供普通用户界面的好处。这样的努力可以提高临床领域对NLP工作的兴趣和支持。
