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CORDIS - EU research results
CORDIS

Intelligent Ecosystem to improve the governance, the sharing and the re-use of health Data for Rare Cancers

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Metadata taxonomy (opens in new window)

D2.5 Metadata taxonomy (UDEU, M12), upper ontology for data ecosystem modeling.

Communication materials (including website) (opens in new window)

D11.2 Communication materials (INF, M9) logo, website and other materials continuously updated.

Rare Cancer Pilots selection (opens in new window)

D8.1 Rare Cancer Pilots selection (INT, M9). Description of the pilot cases and relevant KPIs.

Data Management Plan (opens in new window)

D1.2 Data management Plan (INT, M6). Updated as needed during the course of the project.

Quality Plan (opens in new window)

D1.1 Quality Plan (INT, M6). Quality procedures for the project and the pilots.

Stakeholder Engagement Plan (opens in new window)

D10.2 Stakeholder Engagement Plan (DICOR M6), plan for building the community of interest.

Plan for communication, dissemination and exploitation activities (opens in new window)

D11.1 Plan for communication, dissemination and exploitation activities (INF, M6), overall plan for ensuring awareness and usage of project results.

FHIR Implementation Guide (opens in new window)

D3.1 FHIR Implementation Guide (HL7, M18), FHIR profile adopted by the project for the Data Ecosystem.

Publications

Clinical Natural Language Processing and Health Interoperability to Support Knowledge Management and Governance in Rare Cancers (opens in new window)

Author(s): Laura Lopez-Perez, Eugenio Gaeta, Itziar Alonso, Alejo Esteban, Victor Gerardo Dominguez, Maria Fernanda Cabrera, Maria Teresa Arredondo & Giuseppe Fico
Published in: MEDICON’23 and CMBEBIH’23 Conference paper, 2024, ISSN 1433-9277
Publisher: Publisher NameSpringer, Cham
DOI: 10.1007/978-3-031-49062-0_58

Exploring the Latest Highlights in Medical Natural Language Processing across Multiple Languages: A Survey (opens in new window)

Author(s): Anastassia Shaitarova, Jamil Zaghir, Alberto Lavelli, Michael Krauthammer, Fabio Rinaldi
Published in: Yearbook of medical informatics, 2023, ISSN 2364-0502
Publisher: Georg Thieme Verlag KG
DOI: 10.1055/s-0043-1768726

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