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首页> 外文期刊>Journal of Digital Imaging >Design and Implementation of an Open Source Indexing Solution for a Large Set of Radiological Reports and Images
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Design and Implementation of an Open Source Indexing Solution for a Large Set of Radiological Reports and Images

机译：大量放射报告和图像的开源索引解决方案的设计和实现

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This paper hopes to share the insights we experienced during designing, building, and running an indexing solution for a large set of radiological reports and images in a production environment for more than 3 years. Several technical challenges were encountered and solved in the course of this project. One hundred four million words in 1.8 million radiological reports from 1989 to the present were indexed and became instantaneously searchable in a user-friendly fashion; the median query duration is only 31 ms. Currently, our highly tuned index holds 332,088 unique words in four languages. The indexing system is feature-rich and language-independent and allows for making complex queries. For research and training purposes it certainly is a valuable and convenient addition to our radiology informatics toolbox. Extended use of open-source technology dramatically reduced both implementation time and cost. All software we developed related to the indexing project has been made available to the open-source community covered by an unrestricted Berkeley Software Distribution-style license.
机译：本文希望分享我们在3年以上的生产环境中针对大量放射学报告和图像设计，构建和运行索引解决方案期间所获得的见解。在此项目过程中遇到并解决了一些技术难题。从1989年至今的180万份放射学报告中，有1.4亿个单词被编入索引，并以用户友好的方式立即可搜索；中值查询持续时间仅为31 ms。目前，我们经过高度调整的索引拥有四种语言的332,088个独特单词。索引系统功能丰富且与语言无关，可以进行复杂的查询。出于研究和培训目的，它无疑是我们放射学信息学工具箱的宝贵和便捷的补充。开源技术的广泛使用大大减少了实施时间和成本。我们开发的与索引项目相关的所有软件均已提供给开放源代码社区，该社区由不受限制的Berkeley Software Distribution-style许可证涵盖。

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