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本文引用的文献

1
The open biomedical annotator.开放式生物医学注释工具
Summit Transl Bioinform. 2009 Mar 1;2009:56-60.
2
A Comprehensive Analysis of Five Million UMLS Metathesaurus Terms Using Eighteen Million MEDLINE Citations.使用一千八百万条MEDLINE引文对五百万条统一医学语言系统(UMLS)元词表术语进行的综合分析。
AMIA Annu Symp Proc. 2010 Nov 13;2010:907-11.
3
Building a biomedical ontology recommender web service.构建一个生物医学本体推荐网络服务。
J Biomed Semantics. 2010 Jun 22;1 Suppl 1(Suppl 1):S1. doi: 10.1186/2041-1480-1-S1-S1.
4
Creating mappings for ontologies in biomedicine: simple methods work.创建生物医学本体的映射:简单方法有效。
AMIA Annu Symp Proc. 2009 Nov 14;2009:198-202.
5
Integrating text mining into the MGI biocuration workflow.将文本挖掘整合到MGI生物编目工作流程中。
Database (Oxford). 2009;2009:bap019. doi: 10.1093/database/bap019. Epub 2009 Nov 21.
6
Reflect: augmented browsing for the life scientist.反思:为生命科学家提供的增强型浏览
Nat Biotechnol. 2009 Jun;27(6):508-10. doi: 10.1038/nbt0609-508.
7
BioPortal: ontologies and integrated data resources at the click of a mouse.生物门户:一键点击即可获取本体和集成数据资源。
Nucleic Acids Res. 2009 Jul;37(Web Server issue):W170-3. doi: 10.1093/nar/gkp440. Epub 2009 May 29.
8
Ontology-driven indexing of public datasets for translational bioinformatics.用于转化生物信息学的公共数据集的本体驱动索引编制
BMC Bioinformatics. 2009 Feb 5;10 Suppl 2(Suppl 2):S1. doi: 10.1186/1471-2105-10-S2-S1.
9
Unsupervised method for automatic construction of a disease dictionary from a large free text collection.一种从大型自由文本集合中自动构建疾病词典的无监督方法。
AMIA Annu Symp Proc. 2008 Nov 6;2008:820-4.
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Extracting structured medication event information from discharge summaries.从出院小结中提取结构化用药事件信息。
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词汇构建器网络服务:从两百个生物医学本体构建自定义词汇表。

The Lexicon Builder Web service: Building Custom Lexicons from two hundred Biomedical Ontologies.

作者信息

Parai Gautam K, Jonquet Clement, Xu Rong, Musen Mark A, Shah Nigam H

机构信息

Department of Computer Science.

出版信息

AMIA Annu Symp Proc. 2010 Nov 13;2010:587-91.

PMID:21347046
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3041331/
Abstract

Domain specific biomedical lexicons are extensively used by researchers for natural language processing tasks. Currently these lexicons are created manually by expert curators and there is a pressing need for automated methods to compile such lexicons. The Lexicon Builder Web service addresses this need and reduces the investment of time and effort involved in lexicon maintenance. The service has three components: Inclusion - selects one or several ontologies (or its branches) and includes preferred names and synonym terms; Exclusion - filters terms based on the term's Medline frequency, syntactic type, UMLS semantic type and match with stopwords; Output - aggregates information, handles compression and output formats. Evaluation demonstrates that the service has high accuracy and runtime performance. It is currently being evaluated for several use cases to establish its utility in biomedical information processing tasks. The Lexicon Builder promotes collaboration, sharing and standardization of lexicons amongst researchers by automating the creation, maintainence and cross referencing of custom lexicons.

摘要

特定领域的生物医学词汇表被研究人员广泛用于自然语言处理任务。目前,这些词汇表是由专家编纂人员手动创建的,因此迫切需要自动化方法来编纂此类词汇表。词汇表构建器网络服务满足了这一需求,并减少了词汇表维护所需的时间和精力投入。该服务有三个组件:包含——选择一个或多个本体(或其分支),并包含首选名称和同义词;排除——根据术语的Medline频率、句法类型、UMLS语义类型以及与停用词的匹配情况过滤术语;输出——汇总信息、处理压缩和输出格式。评估表明,该服务具有较高的准确性和运行时性能。目前正在对其进行多个用例的评估,以确定其在生物医学信息处理任务中的效用。词汇表构建器通过自动创建、维护和交叉引用自定义词汇表,促进了研究人员之间词汇表的协作、共享和标准化。