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- W2914196801 abstract "Big Data Analytics are indispensable components of architectures dealing with processing and visualizing results of diverse healthcare-related information sources. In this work, we propose a versatile cloud design where the Health Analytic Tools (HATs) are decoupled from the Datastore and the User-Interface parts, still preserving the element of system trust. This design offers advantages over the process of modifying and constructing new health policy models by means of supporting many-to-many relations between HATs and Health Key Performance Indicators. Additionally, it offers independence regarding HAT providers, analytics frameworks, cloud providers and deployment environments allowing the scaling of the proposed architecture." @default.
- W2914196801 created "2019-02-21" @default.
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- W2914196801 date "2018-12-01" @default.
- W2914196801 modified "2023-09-26" @default.
- W2914196801 title "Trustworthy data processing for health analytics tasks" @default.
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- W2914196801 doi "https://doi.org/10.1109/bigdata.2018.8622449" @default.
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