Liu Ying, Bill Robert, Fiszman Marcelo, Rindflesch Thomas, Pedersen Ted, Melton Genevieve B, Pakhomov Serguei V
University of Minnesota, Minneapolis, MN, USA.
AMIA Annu Symp Proc. 2012;2012:587-95. Epub 2012 Nov 3.
In this paper we examined the relationship between semantic relatedness among medical concepts found in clinical reports and biomedical literature. Our objective is to determine whether relations between medical concepts identified from Medline abstracts may be used to inform us as to the nature of the association between medical concepts that appear to be closely related based on their distribution in clinical reports. We used a corpus of 800k inpatient clinical notes as a source of data for determining the strength of association between medical concepts and SemRep database as a source of labeled relations extracted from Medline abstracts. The same pair of medical concepts may be found with more than one predicate type in the SemRep database but often with different frequencies. Our analysis shows that predicate type frequency information obtained from the SemRep database appears to be helpful for labeling semantic relations obtained with measures of semantic relatedness and similarity.
在本文中，我们研究了临床报告和生物医学文献中发现的医学概念之间的语义相关性。我们的目标是确定从Medline摘要中识别出的医学概念之间的关系是否可用于告知我们基于其在临床报告中的分布而看似密切相关的医学概念之间关联的性质。我们使用了一个包含80万个住院临床记录的语料库作为确定医学概念之间关联强度的数据来源，并使用SemRep数据库作为从Medline摘要中提取的标注关系的来源。在SemRep数据库中，同一对医学概念可能会出现不止一种谓词类型，但频率通常不同。我们的分析表明，从SemRep数据库中获得的谓词类型频率信息似乎有助于标注通过语义相关性和相似性度量获得的语义关系。
