Toward patient-tailored summarization of lung cancer literature.
Toward patient-tailored summarization of lung cancer literature.
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DOI：
10.1109/bhi.2016.7455931
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发表时间：
2016-02
期刊：
影响因子：
--
通讯作者：
Bui AAT
中科院分区：
文献类型：
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作者：
Garcia-Gathright JI;Matiasz NJ;Garon EB;Aberle DR;Taira RK;Bui AAT
随着生物医学文献数量的增加，临床医生保持最新状态可能具有挑战性。图形摘要系统通过将知识浓缩成实体和关系的网络来提供帮助。然而，现有的系统呈现的关系脱离了上下文，忽略了关键的细节，如研究人群。为了更好地支持精准医疗，总结系统应该包括这样的信息，以便为个体患者提供背景和定制结果。本文介绍了“上下文语义地图”为患者量身定制的图形摘要发表的文献。这些努力在非小细胞肺癌（NSCLC）的驱动突变领域得到了证实。开发了NSCLC中关系和研究人群背景的代表性。从一组135个摘要中创建了这种表示的注释黄金标准; F1评分注释者一致性为上下文0.78，关系0.68。可视化的上下文关系表明，上下文有利于发现与面向患者的查询相关的关键发现。
As the volume of biomedical literature increases, it can be challenging for clinicians to stay up-to-date. Graphical summarization systems help by condensing knowledge into networks of entities and relations. However, existing systems present relations out of context, ignoring key details such as study population. To better support precision medicine, summarization systems should include such information to contextualize and tailor results to individual patients. This paper introduces “contextualized semantic maps” for patient-tailored graphical summarization of published literature. These efforts are demonstrated in the domain of driver mutations in non-small cell lung cancer (NSCLC). A representation for relations and study population context in NSCLC was developed. An annotated gold standard for this representation was created from a set of 135 abstracts; F1-score annotator agreement was 0.78 for context and 0.68 for relations. Visualizing the contextualized relations demonstrated that context facilitates the discovery of key findings that are relevant to patient-oriented queries.