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Analysis of communication of uncertainty in genetic counseling patient letters for design of a natural language generation system

机译:用于自然语言生成系统设计的遗传咨询患者信函中不确定性的交流分析

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The GenIE (Genetics Information Expression) Assistant is a proof-of-concept computer system designed to assist healthcare providers by creating editable first drafts of genetic counseling patient letters. Due to the wide range of genetic conditions to be covered and the rapid growth of knowledge in genomic medicine, it would not be feasible to have human experts to pre-author all possible text that might be needed. Thus, our approach has been to develop techniques for natural language generation of patient letters. To gain insight for the design of the system, a corpus of genetic counseling patient letters was studied. This article describes the methods used to analyze expressions of uncertainty in the corpus, some results of that analysis, and its implications for natural language generation.View full textDownload full textKeywordsnatural language generation systems, patient-tailored information, genetic counseling, risk communication, communication of uncertaintyRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/10350330903438428
机译:GenIE(遗传信息表达)助手是一种概念验证计算机系统,旨在通过创建可编辑的遗传咨询患者信函的初稿来帮助医疗保健提供者。由于涉及的遗传条件范围广泛,并且基因组医学知识的迅速发展,让人类专家预先撰写可能需要的所有可能的文字是不可行的。因此,我们的方法一直是开发用于自然语言生成患者信件的技术。为了了解系统的设计,研究了遗传咨询患者信件的语料库。本文介绍了用于分析语料库中不确定性表达的方法,该分析的一些结果及其对自然语言生成的影响。查看全文下载全文关键字自然语言生成系统,患者量身定制的信息,遗传咨询,风险沟通,沟通不确定性的相关变量var addthis_config = {ui_cobrand:“泰勒和弗朗西斯在线”,servicescompact:“ citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,更多”,发布号:“ ra-4dff56cd6bb1830b”};添加到候选列表链接永久链接http://dx.doi.org/10.1080/10350330903438428

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  • 来源
    《Social Semiotics》 |2010年第1期|p.77-86|共10页
  • 作者

    Nancy L. Greena*;

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  • 正文语种 eng
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  • 入库时间 2022-08-17 13:07:33

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