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兽医大数据:当数据应用于犬类时

Veterinary Big Data: When Data Goes to the Dogs.

作者信息

Paynter Ashley N, Dunbar Matthew D, Creevy Kate E, Ruple Audrey

机构信息

Department of Biology, College of Arts and Sciences, University of Washington, Seattle, WA 98195, USA.

Center for Studies in Demography and Ecology, University of Washington, Seattle, WA 98195, USA.

出版信息

Animals (Basel). 2021 Jun 23;11(7):1872. doi: 10.3390/ani11071872.

Abstract

Dogs provide an ideal model for study as they have the most phenotypic diversity and known naturally occurring diseases of all non-human land mammals. Thus, data related to dog health present many opportunities to discover insights into health and disease outcomes. Here, we describe several sources of veterinary medical big data that can be used in research. These sources include medical records from primary medical care centers or referral hospitals, medical claims data from animal insurance companies, and datasets constructed specifically for research purposes. No data source provides information that is without limitations, but large-scale, prospective, longitudinally collected data from dog populations are ideal for further research as they offer many advantages over other data sources.

摘要

狗是理想的研究模型,因为在所有非人类陆地哺乳动物中,它们具有最丰富的表型多样性和已知的自然发生疾病。因此,与狗健康相关的数据为发现健康和疾病结果的见解提供了许多机会。在这里,我们描述了几种可用于研究的兽医医学大数据来源。这些来源包括初级医疗保健中心或转诊医院的病历、动物保险公司的医疗理赔数据,以及专门为研究目的构建的数据集。没有任何数据源提供的信息是没有局限性的,但来自狗群体的大规模、前瞻性、纵向收集的数据是进一步研究的理想选择,因为它们比其他数据源具有许多优势。

相似文献

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Veterinary Big Data: When Data Goes to the Dogs.兽医大数据:当数据应用于犬类时
Animals (Basel). 2021 Jun 23;11(7):1872. doi: 10.3390/ani11071872.
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