利用语义距离对医学概念进行高效编码。
Using semantic distance for the efficient coding of medical concepts.
作者信息
Bousquet C, Jaulent M C, Chatellier G, Degoulet P
机构信息
Medical Informatics Department, Broussais Hospital, Paris, France.
出版信息
Proc AMIA Symp. 2000:96-100.
OBJECTIVE
To use the notion of semantic distance to find the nearest neighbors of a medical concept in a controlled vocabulary.
MATERIAL AND METHOD
392 concepts from the cardiovascular chapter of the ICD-10 were projected on the axes of SNOMED III. Distances were measured on each axis and the resulting distance was found using a Lp norm.
RESULTS
The distance between a set of ischemic diseases and a set of non-ischemic diseases was significant (p < 0.0001). Our method was validated by finding the k nearest neighbors of ten different diagnoses from the ICD-10 cardiovascular chapter.
DISCUSSION
The availability of SNOMED-RT should improve our method. Several more steps are necessary to provide an ideal coding tool.
目的
运用语义距离的概念在受控词汇表中找到医学概念的最近邻。
材料与方法
将国际疾病分类第十版（ICD - 10）心血管章节中的392个概念投影到医学系统命名法第三版（SNOMED III）的轴上。在每个轴上测量距离，并使用Lp范数得出最终距离。
结果
一组缺血性疾病和一组非缺血性疾病之间的距离具有显著性（p < 0.0001）。通过找到ICD - 10心血管章节中十种不同诊断的k最近邻，我们的方法得到了验证。
讨论
SNOMED - RT的可用性应能改进我们的方法。要提供一个理想的编码工具还需要更多步骤。
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