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An extensible big data software architecture managing a research resource of real-world clinical radiology data linked to other health data from the whole Scottish population
GigaScience ( IF 9.2 ) Pub Date : 2020-09-29 , DOI: 10.1093/gigascience/giaa095
Thomas Nind 1 , James Sutherland 1 , Gordon McAllister 1 , Douglas Hardy 1 , Ally Hume 2 , Ruairidh MacLeod 2 , Jacqueline Caldwell 3 , Susan Krueger 1 , Leandro Tramma 1 , Ross Teviotdale 1 , Mohammed Abdelatif 1 , Kenny Gillen 1 , Joe Ward 1 , Donald Scobbie 2 , Ian Baillie 3 , Andrew Brooks 2 , Bianca Prodan 2 , William Kerr 2 , Dominic Sloan-Murphy 2 , Juan F R Herrera 2 , Dan McManus 2 , Carole Morris 3 , Carol Sinclair 4 , Rob Baxter 2 , Mark Parsons 2 , Andrew Morris 5 , Emily Jefferson 1
Affiliation  

To enable a world-leading research dataset of routinely collected clinical images linked to other routinely collected data from the whole Scottish national population. This includes more than 30 million different radiological examinations from a population of 5.4 million and >2 PB of data collected since 2010.

中文翻译:

一种可扩展的大数据软件架构,管理与整个苏格兰人口的其他健康数据相关联的真实世界临床放射学数据的研究资源

启用世界领先的常规收集临床图像研究数据集,这些数据集与来自整个苏格兰国民的其他常规收集数据相关联。这包括来自 540 万人口的超过 3000 万次不同的放射学检查和自 2010 年以来收集的超过 2 PB 的数据。
更新日期:2020-09-29
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