Automatic summarization of MEDLINE citations for evidence-based medical treatment: A topic-oriented evaluation
Automatic summarization of MEDLINE citations for evidence-based medical treatment: A topic-oriented evaluation
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DOI：
10.1016/j.jbi.2008.10.002
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发表时间：
2009-10-01
影响因子：
4.5
通讯作者：
Rindflesch, Thomas C.
中科院分区：
文献类型：
--
作者：
Fiszman, Marcelo;Demner-Fushman, Dina;Rindflesch, Thomas C.
随着电子生物医学文本资源数量的增加，医生在护理点找到有用的答案变得更加困难。信息检索应用程序提供访问数据库，但是，很少有研究已经做了使用自动摘要，以帮助导航这些系统返回的文件。在提出了一个语义抽象自动摘要系统的MEDLINE引文，我们专注于评估其能力，以确定有用的药物干预53种疾病。评价方法使用现有的循证医学来源作为医生注释的参考标准的替代品。计算平均精密度（MAP）和为本研究开发的临床有用性评分作为性能指标。自动总结系统在这两个指标上都明显优于基线。MAP增加0.17（p < 0.01），临床有效性总评分增加0.39（p < 0.05）。爱思唯尔公司出版
As the number of electronic biomedical textual resources increases, it becomes harder for physicians to find useful answers at the point of care. Information retrieval applications provide access to databases; however, little research has been done on using automatic summarization to help navigate the documents returned by these systems. After presenting a semantic abstraction automatic summarization system for MEDLINE citations, we concentrate on evaluating its ability to identify useful drug interventions for 53 diseases. The evaluation methodology uses existing sources of evidence-based medicine as surrogates for a physician-annotated reference standard. Mean average precision (MAP) and a clinical usefulness score developed for this study were computed as performance metrics. The automatic summarization system significantly outperformed the baseline in both metrics. The MAP gain was 0.17 (p < 0.01) and the increase in the overall score of clinical usefulness was 0.39 (p < 0.05). Published by Elsevier Inc.