CORDIS

This prototype will implement the mechanisms specified in D3.5.

This prototype will deliver the software implementations of the gateways framework and the unified APIs.

These prototypes will deliver the envisioned integrated holistic security and privacy framework.

Is the software prototype for the above deliverables D5.15/D5.16/D5.17.

These prototypes will deliver the enriched HHR structures specified in D3.1/D3.2 including mechanisms enabling dynamic patterns exploitation for real-time adaptation.

These prototypes will implement the mechanisms specified in D4.7/D4.8/D4.9.

These prototypes will deliver the services for the different scenarios and showcase the applicability of the CrowdHEALTH technologies under different applications and contexts.

This report will identify the key components of CrowdHEALTH and define the interfaces and interactions between them. An internal report will be developed in M3 and will serve as a basis to kick-off the research activities of the project (planned to start in M4).

This report will examine the SotA for the technologies involved in CrowdHEALTH, present possible future trends and analyse the identified both use case and technical requirements. In M3 an internal deliverable will be provided in order to provide input to the initial conceptual model and architecture. During the course of the project the technologies and requirements related to CrowdHEALTH will continue being investigated in order to ensure that the objectives and innovations of the project are valid, work is performed taking into account the latest SotA and developments fulfil the identified goals and requirements.

This deliverable will focus on the publication of the initial set of materials that will define and promote project’s identity. It will include the creation of a project logo, a project factsheet, an MS PowerPoint presentation providing a general description of CrowdHEALTH, project’s official web site and templates for the official documents to be developed within the project.

The deliverable D5.1 will describe the models and the methodologies for the evaluation of public health policies.

This document will outline the architecture and design of the description framework and the specification of the envisioned abstracted API for all information sources.

This series of deliverables will describe the dissemination and collaboration strategy and the activities followed during the reporting periods as well as the results from these activities (see Section 2.2.3 for a detailed description of the planned dissemination strategy for CrowdHEALTH). An internal plan will be developed in M6 to drive the initial dissemination activities of the project.

This document will outline the information model and describe the mechanisms investigated and developed in to provide reliable information from data sources. The deliverable will provide the relevant specification as well as descriptions of the mechanisms to overcome the intrinsic information volatility in the healthcare ecosystem.

This document will provide detailed specifications for the interoperability techniques and mechanisms.

This report will consolidate the results from the work performed in order to provide the integrated view of CrowdHEALTH outcomes.

This document will provide a detailed architecture of the holistic security and privacy framework including the trust management, data anonymization, access control and authorization mechanisms.

This report will examine the SotA for the technologies involved in CrowdHEALTH, present possible future trends and analyse the identified both use case and technical requirements. In M3 an internal deliverable will be provided in order to provide input to the initial conceptual model and architecture. During the course of the project the technologies and requirements related to CrowdHEALTH will continue being investigated in order to ensure that the objectives and innovations of the project are valid, work is performed taking into account the latest SotA and developments fulfil the identified goals and requirements.

This document will provide detailed specifications for the mechanisms and models that generate contextual knowledge in healthcare.

This report will examine the SotA for the technologies involved in CrowdHEALTH, present possible future trends and analyse the identified both use case and technical requirements. In M3 an internal deliverable will be provided in order to provide input to the initial conceptual model and architecture. During the course of the project the technologies and requirements related to CrowdHEALTH will continue being investigated in order to ensure that the objectives and innovations of the project are valid, work is performed taking into account the latest SotA and developments fulfil the identified goals and requirements.

This document will outline the health records properties that will extend current structures with holistic health attributes as well with social attributes regarding their behavioural, interaction and operation patterns within a network of HHRs.

This deliverable describes the forecasting, simulation and causal mechanisms analysis functionality of the policies development toolkit.

This deliverable will provide the processes and techniques for the risk assessment and stratification.

This report will identify the key components of CrowdHEALTH and define the interfaces and interactions between them. An internal report will be developed in M3 and will serve as a basis to kick-off the research activities of the project (planned to start in M4).

CrowdHEALTH will participate in the Pilot on Open Research Data in H2020 and will endeavour to offer open access to its scientific results reported in publications, to the relevant scientific data and to data generated during the course of the project. The plan will identify the best practices and specific standards for the generated data and assess their suitability for sharing and reuse in accordance with official guidelines (additional information is provided in Section 2.2.4).

Author(s): Athanasios Kiourtis, Argyro Mavrogiorgou, Dimosthenis Kyriazis

Published in: Joint Conference on Knowledge-Based Software Engineering, 2018, Page(s) 178-188

DOI: 10.1007/978-3-319-97679-2_18

Aggregating Heterogeneous Health Data Through an Ontological Common Health Language

Author(s): Athanasios Kiourtis, Argyro Mavrogiorgou, Dimosthenis Kyriazis

Published in: 2018

Gaining the Semantic Knowledge of Healthcare Data through Syntactic Models Transformations

Author(s): Athanasios Kiourtis, Argyro Mavrogiorgou, Dimosthenis Kyriazis

Published in: 2018