迈向潜在药物相互作用知识的基础表示。
Towards a foundational representation of potential drug-drug interaction knowledge.
作者信息
Brochhausen Mathias, Schneider Jodi, Malone Daniel, Empey Philip E, Hogan William R, Boyce Richard D
机构信息
Division of Biomedical Informatics, University of Arkansas for Medical Sciences, 4301 W. Markham St., #782, Little Rock, AR, 72205-7199.
Web-instrumented man-machine interactions, communities and semantics group, INRIA Sophia Antipolis - Méditerranée, France.
出版信息
CEUR Workshop Proc. 2014 Oct;1309:16-31.
Abstract
Inadequate representation of evidence and knowledge about potential drug-drug interactions is a major factor underlying disagreements among sources of drug information that are used by clinicians. In this paper we describe the initial steps toward developing a foundational domain representation that allows tracing the evidence underlying potential drug-drug interaction knowledge. The new representation includes biological and biomedical entities represented in existing ontologies and terminologies to foster integration of data from relevant fields such as physiology, anatomy, and laboratory sciences.
摘要
关于潜在药物相互作用的证据和知识呈现不足，是临床医生所使用的药物信息来源之间存在分歧的一个主要因素。在本文中，我们描述了朝着开发一个基础领域表示法迈出的初步步骤，该表示法能够追踪潜在药物相互作用知识背后的证据。新的表示法包括现有本体和术语中所表示的生物和生物医学实体，以促进来自生理学、解剖学和实验室科学等相关领域的数据整合。
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