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药学术语中的分类信息。

Categorical information in pharmaceutical terminologies.

作者信息

Carter John S, Brown Steven H, Bauer Brent A, Elkin Peter L, Erlbaum Mark S, Froehling David A, Lincoln Michael J, Rosenbloom S Trent, Wahner-Roedler Dietlind L, Tuttle Mark S

机构信息

University of Utah, Salt Lake City, UT, USA.

出版信息

AMIA Annu Symp Proc. 2006;2006:116-20.

Abstract

Drug information sources use category labels to assist in navigating and organizing information. Some category labels describe drugs from multiple perspectives (e.g., both structure and function). The National Drug File - Reference Terminology (NDF RT) is a drug information source that augments a "legacy" categorization system with a formal reference model specifying Chemical Structure, Cellular or Sub-Cellular Mechanism of Action, Organ- or System-Level Physiological Effect, and Therapeutic Intent categories. We examined drug category names from three sources to better understand their information content and evaluate NDF RT's semantic coverage. On average, category names contain more than 1.5 attributes. NDF RT's reference model covers more than 76% of the information identified in drug category labels. A new NDF RT reference axis of drug formulations could improve NDF RT's coverage to 85%. The distinction between Physiological Effect and Therapeutic Intent, prompted many questions among category reviewers, suggesting that further clarification of these reference concepts is required. Careful review of existing categorization schemes may guide structured terminology and ontology development efforts toward greater fidelity to deployed information sources.

摘要

药物信息源使用类别标签来辅助信息的导航和组织。一些类别标签从多个角度描述药物(例如,结构和功能)。国家药品档案 - 参考术语(NDF RT)是一种药物信息源,它通过一个正式的参考模型对“传统”分类系统进行补充,该参考模型规定了化学结构、细胞或亚细胞作用机制、器官或系统水平的生理效应以及治疗意图类别。我们检查了来自三个来源的药物类别名称,以更好地理解其信息内容并评估NDF RT的语义覆盖范围。类别名称平均包含超过1.5个属性。NDF RT的参考模型涵盖了药物类别标签中识别出的超过76%的信息。一个新的NDF RT药物制剂参考轴可以将NDF RT的覆盖率提高到85%。生理效应和治疗意图之间的区别在类别评审人员中引发了许多问题,这表明需要对这些参考概念进行进一步澄清。对现有分类方案的仔细审查可能会指导结构化术语和本体开发工作,使其更符合已部署的信息源。

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