Science with and for Society (SwafS) in Horizon 2020

Description:
No description specified

Web page: https://ec.europa.eu/programmes/horizon2020/en/h2020-section/science-and-society

Funding details:
No funding details specified

Related items

FAIR4Health

FAIR4Health is a Horizon 2020 project which aims to FAIRify medical datasets.

Programme: Science with and for Society (SwafS) in Horizon 2020

Public web page: https://www.fair4health.eu/

Start date: 1st Dec 2019

End date: 30th Nov 2021

ARI Atos Research & Innovation

Country:  Spain

City: Santa Cruz de Tenerife

Web page: Not specified

HL7 Europe

Country:  Belgium

City: Brussel

Web page: Not specified

Institute for Medical Informatics, Statistics and Epidemiology (IMISE)

Country:  Germany

City: Leipzig

Web page: https://www.imise.uni-leipzig.de/en/

SRDC Software Research & Development and Consultancy Corp.

Country:  Turkey

City: Ankara

Web page: Not specified

Universidad Carlos III de Madrid

Country:  Spain

City: Madrid

Web page: Not specified

Virgen del Rocío University Hospital

Country:  Spain

City: Seville

Web page: Not specified

FAIR4Health Information Architecture
FAIR4Health

Ressource related to the information architecture subsuming the central FAIR4Health Platform and the local FAIR4Health agents.

Submitter: Matthias Löbe

Studies: 3LGM² model for FAIR4Health

Resources: 3LGM² local model DIC Leipzig, 3LGM² model survey, 3LGM² reference model, Diagram inter-level relationships

FAIR4Health Pathfinder Case Studies
FAIR4Health
No description specified

Submitter: Matthias Löbe

Studies: #1 Characterization of multimorbidity patterns and association with heal...

Resources: Clinical Dataset

#1 Characterization of multimorbidity patterns and association with health outcomes in the elderly
FAIR4Health

To achieve the objective of Use Case 1, a retrospective study has been performed with data from 5 EU cohorts in different health care settings (hospital, primary care, nursing homes) and health research organizations:

  1. UNIGE: provides anonymized health care data from the EHR of the University Hospitals of Geneva.
  2. SAS: provides health care data from the EHR of the Virgen del Rocío University Hospital in Seville as part of the Andalusian Health Service.
  3. UCSC: provides health ...

Submitter: Matthias Löbe

Investigation: FAIR4Health Pathfinder Case Studies

Resources: Clinical Dataset

Study type: Secondary data analysis

3LGM² model for FAIR4Health
FAIR4Health
No description specified

Submitter: Matthias Löbe

Investigation: FAIR4Health Information Architecture

Resources: 3LGM² local model DIC Leipzig, 3LGM² model survey, 3LGM² reference model, Diagram inter-level relationships

Study type: Not specified

1 hidden item
Diagram inter-level relationships
FAIR4Health
No description specified

Submitter: Matthias Löbe

Biological problem addressed: Model Analysis Type

Investigation: FAIR4Health Information Architecture

Study: 3LGM² model for FAIR4Health

3LGM² local model DIC Leipzig
FAIR4Health
No description specified

Submitter: Matthias Löbe

Biological problem addressed: Model Analysis Type

Investigation: FAIR4Health Information Architecture

Study: 3LGM² model for FAIR4Health

3LGM² model survey
FAIR4Health
No description specified

Submitter: Mona Perbix

Biological problem addressed: Model Analysis Type

Investigation: FAIR4Health Information Architecture

Study: 3LGM² model for FAIR4Health

3LGM² reference model
FAIR4Health

The 3LGM² reference model for the FAIR4Health information architecture is based on the 3LGM² Metamodel. A graphical export of the different layers and a matrix view of the inter-level relationships is provided. However the 3LGM² tool is required for an interactive display of the model and additional functions.

Submitter: Matthias Löbe

Biological problem addressed: Model Analysis Type

Investigation: FAIR4Health Information Architecture

Study: 3LGM² model for FAIR4Health

Clinical Dataset
FAIR4Health

Clinical data extracted from local EHR systems.

Submitter: Matthias Löbe

Resource type: Experimental Assay Type

Technology type: Technology Type

Investigation: FAIR4Health Pathfinder Case Studies

Study: #1 Characterization of multimorbidity patterns ...

1 hidden item
Applying the FAIR4Health Solution to Identify Multimorbidity Patterns and Their Association with Mortality through a Frequent Pattern Growth Association Algorithm
FAIR4Health

Abstract (Expand)

The current availability of electronic health records represents an excellent research opportunity on multimorbidity, one of the most relevant public health problems nowadays. However, it also poses a …t also poses a methodological challenge due to the current lack of tools to access, harmonize and reuse research datasets. In FAIR4Health, a European Horizon 2020 project, a workflow to implement the FAIR (findability, accessibility, interoperability and reusability) principles on health datasets was developed, as well as two tools aimed at facilitating the transformation of raw datasets into FAIR ones and the preservation of data privacy. As part of this project, we conducted a multicentric retrospective observational study to apply the aforementioned FAIR implementation workflow and tools to five European health datasets for research on multimorbidity. We applied a federated frequent pattern growth association algorithm to identify the most frequent combinations of chronic diseases and their association with mortality risk. We identified several multimorbidity patterns clinically plausible and consistent with the bibliography, some of which were strongly associated with mortality. Our results show the usefulness of the solution developed in FAIR4Health to overcome the difficulties in data management and highlight the importance of implementing a FAIR data policy to accelerate responsible health research.

Authors: Jonás Carmona-Pírez, Beatriz Poblador-Plou, Antonio Poncel-Falcó, Jessica Rochat, Celia Alvarez-Romero, Alicia Martínez-García, Carmen Angioletti, Marta Almada, Mert Gencturk, A. Anil Sinaci, Jara Eloisa Ternero-Vega, Christophe Gaudet-Blavignac, Christian Lovis, Rosa Liperoti, Elisio Costa, Carlos Luis Parra-Calderón, Aida Moreno-Juste, Antonio Gimeno-Miguel, Alexandra Prados-Torres

Date Published: 1st Feb 2022

Publication Type: Journal article

Graphical export of the physical tool layer
FAIR4Health
No description specified

Creator: Mona Perbix

Submitter: Mona Perbix

Data file type: Not specified

Download
Graphical export of the logical tool layer
FAIR4Health
No description specified

Creator: Mona Perbix

Submitter: Mona Perbix

Data file type: Not specified

Download
Graphical export of the domain layer
FAIR4Health
No description specified

Creator: Mona Perbix

Submitter: Mona Perbix

Data file type: Not specified

Download
FAIR4Health 3LGM2 Reference Modell.z3lgm
FAIR4Health
No description specified

Creators: None

Submitters: Matthias Löbe, Mona Perbix

Data file type: Not specified

Download
SAS metadata
FAIR4Health

This file contains the FHIR CapabilityStatement and FHIR Provenance ressources created within this use case in the local onFHIR store. It covers both #1 Characterization of multimorbidity patterns and association with health outcomes in the elderly and #2 Early prediction service for 30-days readmission risk in COPD patients.

Creators: None

Submitter: Matthias Löbe

Data file type: Not specified

Download
3LGM² model survey data dictionary REDCap
FAIR4Health
No description specified

Creator: Mona Perbix

Submitter: Mona Perbix

Data file type: Not specified

Download
UP data
FAIR4Health

The dataset contains data from 1,313 patients. It is not available for download here, but registered in the FAIR4Health Platform portal.

Creators: None

Submitter: Matthias Löbe

Data file type: Not specified

External Link View content
UNIGE data
FAIR4Health

The dataset contains data from 244 patients. It is not available for download here, but registered in the FAIR4Health Platform portal.

Creators: None

Submitter: Matthias Löbe

Data file type: Not specified

External Link View content
UP metadata
FAIR4Health

This file contains the FHIR CapabilityStatement and FHIR Provenance ressources created within this use case in the local onFHIR store.

Creators: None

Submitter: Matthias Löbe

Data file type: Not specified

Download
UCSC metadata
FAIR4Health

This file contains the FHIR CapabilityStatement and FHIR Provenance ressources created within this use case in the local onFHIR store.

Creators: None

Submitter: Matthias Löbe

Data file type: Not specified

Download
2 hidden items
ICIMTH 2022 Presentation
FAIR4Health
No description specified

Creator: Matthias Löbe

Submitter: Matthias Löbe

Download
ICIMTH 2022

Assets for the ICIMTH 2022 conference paper in Athens.

Start Date: 1st Jul 2022

End Date: 3rd Jul 2022

Event Website: https://www.icimth.com/

Country: Not specified

City: Athens

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The Health Atlas - Local Data Hub/Leipzig is an alliance of medical ontologists, medical systems biologists and clinical trials groups to design and implement a multi-functional and quality-assured atlas. It provides models, data and metadata on specific use cases from medical research fields.

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