Mendonça E A, Cimino J J
Department of Medical Informatics, Columbia University, New York, NY, USA.
Proc AMIA Symp. 2000:575-9.
As part of preliminary studies for the development of a digital library, we have studied the possibility of using the co-occurrence of MeSH terms in MEDLINE citations associated with the search strategies optimal for evidence-based medicine to automate construction of a knowledge base. We use the UMLS semantic types in order to analyze search results to determine which semantic types are most relevant for different types of questions (etiology, diagnosis, therapy, and prognosis). The automated process generated a large amount of information. Seven to eight percent of the semantic pairs generated in each clinical task group co-occur significantly more often than can be accounted for by chance. A pilot study showed good specificity and sensitivity for the intended purposes of this project in all groups.
作为数字图书馆开发前期研究的一部分,我们研究了利用与循证医学最佳搜索策略相关的MEDLINE引文中医学主题词(MeSH)的共现情况来自动构建知识库的可能性。我们使用统一医学语言系统(UMLS)语义类型来分析搜索结果,以确定哪些语义类型与不同类型的问题(病因、诊断、治疗和预后)最为相关。自动化过程产生了大量信息。在每个临床任务组中生成的语义对中,有7%至8%的共现频率显著高于偶然预期。一项试点研究表明,对于本项目的预期目的,所有组均具有良好的特异性和敏感性。