Distributed Analytics on Sensitive Medical Data: The Personal Health Train
收藏科学数据银行2020-10-17 更新2026-04-23 收录
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资源简介：
One table and two figures of the paper. Table 1 shows that The Personal Health Train (PHT) is a novel approach, aiming to establish a distributed data analytics infrastructure enabling the (re)use of distributed healthcare data, while data owners stay in control of their own data. The main principle of the PHT is that data remain in their original location, and analytical tasks visit data sources and execute the tasks. The PHT provides a distributed, flexible approach to use data in a network of participants, incorporating the FAIR principles. It facilitates the responsible use of sensitive and/or personal data by adopting international principles and regulations. FAIR principles supported by the PHT components. Figure 1 shows main components of the PHT architecture. Figure 2 presents applicability of FAIR principles to the components of the PHT.
提供机构：
Fraunhofer Institute for Applied Information Technology; Maastricht University Medical Center; Ananya Choudhury; Luiz Olavo Bonino Da Silva Santos; University of Tübingen; GROW School for Oncology and Developmental Biology; Maastricht University; Md. Rezaul Karim
创建时间：
2020-10-17
