Pending of final acceptance by the European Commission

Based on the detailed D2.1 report, this document extends state of the art in the realization of the mechanisms and algorithms of the CrowdHEALTH platform – a secure ICT platform that incorporates the collective knowledge from the multiple heterogeneous sources and its combination with situational awareness artefacts- based on holistic health records, heterogeneous data aggregation systems and algorithms, big data analysis and storage, mining, forecasting and visualisation, and finally policy development toolkits. Security and privacy enhancing and enforcing mechanisms are also presented throughout an overview. Alongside the state of the art, the enhancements to the previously mentioned mechanisms and toolkits that are planned for CrowdHEALTH will be presented and extended, providing a clear overview of the contributions added and validated through the run of the project - an inter-disciplinary effort where the resulting platform includes big data management mechanisms addressing the complete data path, namely from acquisition and cleaning up to data integration, modelling, analysis, information extraction and interpretation.
In addition, this report provides an updated analysis of the requirements list considered during the development of the platform, adding the experiences based on initial steps of development and integration that will be later evaluated during the implementation of the pilot programs. More specifically, the requirements have been refined based on a better understanding of available real world data and functional scenarios. As assumed in D2.1, requirements will help the research and development efforts by providing support and guiding the decisions and strategies adopted the in specific work packages.

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