将神经放射学报告中的解剖学短语索引到《统一医学语言系统2005AA版》。
Indexing anatomical phrases in neuro-radiology reports to the UMLS 2005AA.
作者信息
Bashyam Vijayaraghavan, Taira Ricky K
机构信息
Medical Imaging Informatics (MII) Group, University of California - Los Angles (UCLA), USA.
出版信息
AMIA Annu Symp Proc. 2005;2005:26-30.
Abstract
This work describes a methodology to index anatomical phrases to the 2005AA release of the Unified Medical Language System (UMLS). A phrase chunking tool based on Natural Language Processing (NLP) was developed to identify semantically coherent phrases within medical reports. Using this phrase chunker, a set of 2,551 unique anatomical phrases was extracted from brain radiology reports. These phrases were mapped to the 2005AA release of the UMLS using a vector space model. Precision for the task of indexing unique phrases was 0.87.
摘要
这项工作描述了一种将解剖学短语索引到统一医学语言系统（UMLS）2005AA版本的方法。开发了一种基于自然语言处理（NLP）的短语分块工具，以识别医学报告中语义连贯的短语。使用这个短语分块器，从脑部放射学报告中提取了一组2551个独特的解剖学短语。这些短语使用向量空间模型映射到UMLS的2005AA版本。索引独特短语任务的精确率为0.87。
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