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Representation of rare diseases in health information systems: the Orphanet approach to serve a wide range of end users.

机译:在健康信息系统中代表稀有疾病:Orphanet方法可为广泛的最终用户提供服务。

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摘要

Rare disorders are scarcely represented in international classifications and therefore invisible in information systems. One of the major needs in health information systems and for research is to share and/or to integrate data coming from heterogeneous sources with diverse reference terminologies. ORPHANET (www.orpha.net) is a multilingual information portal on rare diseases and orphan drugs. Orphanet information system is supported by a relational database built around the concept of rare disorders. Representation of rare diseases in Orphanet encompasses levels of increasing complexity: lexical (multilingual terminology), nosological (multihierarchical classifications), relational (annotations-epidemiological data-and classes of objects-genes, manifestations, and orphan drugs-integrated in a relational database), and interoperational (semantic interoperability). Rare disorders are mapped to International Classification of Diseases (10th version), SNOMED CT, MeSH, MedDRA, and UMLS. Genes are cross-referenced with HGNC, UniProt, OMIM, and Genatlas. A suite of tools allow for extraction of massive datasets giving different views that can be used in bioinformatics to answer complex questions, intended to serve the needs of researchers and the pharmaceutical industry in developing medicinal products for rare diseases. An ontology is under development. The Orphanet nomenclature is at the crossroads of scientific data repositories and of clinical terminology standards, and is suitable to be used as a standard terminology.
机译:罕见疾病很少出现在国际分类中,因此在信息系统中是看不见的。健康信息系统和研究的主要需求之一是共享和/或集成来自具有不同参考术语的异构来源的数据。 ORPHANET(www.orpha.net)是有关稀有疾病和孤儿药物的多语言信息门户。 Orphanet信息系统由围绕罕见疾病概念构建的关系数据库提供支持。 Orphanet中稀有疾病的表示包括日益增加的复杂性:词汇(多语言术语),病态(多层次分类),关系(注释-流行病学数据和对象类别-基因,表现形式和孤儿药物-集成在关系数据库中)以及互操作性(语义互操作性)。罕见疾病映射到国际疾病分类(第10版),SNOMED CT,MeSH,MedDRA和UMLS。基因与HGNC,UniProt,OMIM和Genatlas相互参照。一套工具可以提取海量数据集,从而提供不同的视图,这些视图可用于生物信息学以回答复杂的问题,旨在满足研究人员和制药行业开发罕见病药物的需求。本体正在开发中。 Orphanet术语正处于科学数据存储库和临床术语标准的十字路口,并且适合用作标准术语。

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