从文本中提取术语以构建外科重症监护领域的本体。
Terminology extraction from text to build an ontology in surgical intensive care.
作者信息
Le Moigno Sophie, Charlet Jean, Bourigault Didier, Degoulet Patrice, Jaulent Marie-Christine
机构信息
SPIM, UFR Broussais-Hôtel-Dieu, SPIM, 75006 Paris, France.
出版信息
Proc AMIA Symp. 2002:430-4.
In many medical fields, the maintenance of unabiguous terminologies, the comparison and aggregation of different terminologies go through the building of formal specialized clinical terminologies, the ontologies. In this paper, we describe the building of an ontology in the surgical intensive care medical domain. We considered textual reports as the main source of information and a natural language processing tool, the SYNTEX software, is used to build the ontology. We have tested the possibility for an expert to build a sizeable ontology in a reasonable time. The quality of the ontology has been evaluated according to its capacity to cover the ICD-10 terminology in the field. Examples of coding activity with the ontology are proposed and discussed.
在许多医学领域，明确术语的维护、不同术语的比较和汇总都要通过构建正式的专业临床术语，即本体来实现。在本文中，我们描述了外科重症监护医学领域本体的构建。我们将文本报告视为主要信息来源，并使用自然语言处理工具SYNTEX软件来构建本体。我们测试了专家在合理时间内构建一个规模可观的本体的可能性。根据该本体涵盖该领域ICD - 10术语的能力对其质量进行了评估。本文还提出并讨论了使用该本体进行编码活动的示例。
Zotero 插件