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Leveraging Terminological Resources for Mapping between Rare Disease Information Sources

机译:利用终止疾病信息来源之间的术语资源

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Background: Rare disease information sources are incompletely and inconsistently cross-referenced to one another, making it difficult for information seekers to navigate across them. The development of such cross-references established manually by experts is generally labor intensive and costly. Objectives: To develop an automatic mapping between two of the major rare diseases information sources, GARD and Or-phanet, by leveraging terminological resources, especially the UMLS. Methods: We map the rare disease terms from Or-phanet and ORDR to the UMLS. We use the UMLS as a pivot to bridge between the rare disease terminologies. We compare our results to a mapping obtained through manually established cross-references to OMIM. Results: Our mapping has a precision of 94%, a recall of 63% and an F_1-score of 76%. Our automatic mapping should help facilitate the development of more complete and consistent cross-references between GARD and Orphanet, and is applicable to other rare disease information sources as well.
机译:背景:罕见的疾病信息来源彼此不完全和不一致地交叉引用,使信息难以跨越它们。由专家手动建立的这种交叉参考的开发通常是劳动密集型和昂贵的。目标:通过利用术语资源,尤其是UML,在两个主要的罕见疾病信息来源,Gard和Phanet之间进行自动映射。方法:我们将罕见的疾病术语从或-Phanet和Ordr映射到UMLS。我们将UMLS用作稀有疾病术语之间的桥梁枢轴。我们将结果与通过手动建立对OMIM的交叉引用获得的映射进行比较。结果:我们的映射具有94%的精确度,召回63%,F_1分数为76%。我们的自动映射应该有助于促进和GARD之间Orphanet更完整和一致的交叉引用的发展,并适用于其他罕见疾病的信息源也是如此。

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