Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Javier González-Galindo"'
Autor:
Marjan Meurisse, Francisco Estupiñán-Romero, Javier González-Galindo, Natalia Martínez-Lizaga, Santiago Royo-Sierra, Simon Saldner, Lorenz Dolanski-Aghamanoukjan, Alexander Degelsegger-Marquez, Stian Soiland-Reyes, Nina Van Goethem, Enrique Bernal-Delgado, for the BeYond-COVID project
Publikováno v:
BMC Medical Research Methodology, Vol 23, Iss 1, Pp 1-15 (2023)
Abstract Introduction Causal inference helps researchers and policy-makers to evaluate public health interventions. When comparing interventions or public health programs by leveraging observational sensitive individual-level data from populations cr
Externí odkaz:
https://doaj.org/article/3a4d833332d3492ba1ac50bd21c98ff2
Autor:
Juan González-García, Francisco Estupiñán-Romero, Carlos Tellería-Orriols, Javier González-Galindo, Luigi Palmieri, Andrea Fagaralli, Ivan Pristās, Jakov Vuković, Janis Misinš, Irisa Zile, Enrique Bernal-Delgado, on behalf of the InfAct Joint Action consortium
Publikováno v:
Archives of Public Health, Vol 79, Iss 1, Pp 1-18 (2021)
Abstract Background Information for Action! is a Joint Action (JA-InfAct) on Health Information promoted by the EU Member States and funded by the European Commission within the Third EU Health Programme (2014–2020) to create and develop solid sust
Externí odkaz:
https://doaj.org/article/5d09370220ce44f4a9526dad389e1567
Autor:
Juan González-García, Francisco Estupiñán-Romero, Carlos Tellería-Orriols, Javier González-Galindo, Luigi Palmieri, Andrea Faragalli, Ivan Pristās, Jakov Vuković, Janis Misinš, Irisa Zile, Enrique Bernal-Delgado, on behalf of the InfAct Joint Action consortium
Publikováno v:
Archives of Public Health, Vol 80, Iss 1, Pp 1-1 (2022)
Externí odkaz:
https://doaj.org/article/74d0e7bc67dd47a6ab78759601a8e5ae
Autor:
Enrique Bernal-Delgado, Francisco Estupiñán-Romero, Javier González-Galindo, Carlos Tellería-Orriols, Juan González-García
The PHIRI Federated Research Infrastructure (FRI) is supported by a containerised reproducible solution for data analysis (i.e. use cases) to be deployed on-premises by each participant partner (a.k.a PHIRI-app) to generate a set of local results (ou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac8f3e9325e0e6af0d548091955e7318
Autor:
Enrique Bernal-Delgado, Francisco Estupiñán-Romero, Javier González-Galindo, Natalia Martínez-Lizaga, Pascal Derycke, Nienke Schutte, Liesbet Van Eycken, Nancy Van Damme, Kris Henau, Ronan Lyons, Sarah Aldridge, Andrea Faragalli, Flavia Carle, Rosaria Gesuita, Luigi Palmieri, Jānis Misiņš, Jakov Vuković, Jelena Dimnjaković
The PHIRI Federated Research Infrastructure (FRI) is supported by a containerized reproducible solution for data analysis (i.e. use cases) to be deployed on-premises by each participant partner (a.k.a PHIRI-app) to generate a set of local results (ou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3135aef1e9cf6d96b7f0c46d400a0470
Autor:
Juan González-García, Javier González-Galindo, Francisco Estupiñán-Romero, Enrique Bernal-Delgado
The INFACT Data Model contains: - the common data model for the Acute Stroke Care Process Mining Analysis in two formats a) human-readable (PPTX file) and machine-ready (EXCEL file), - the instructions to locally deploy and run the Analytic Pipeline
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8bbb2e1c3aeb1ddc1b1d1fc51230b5e
Autor:
Juan González-García, Javier González-Galindo, Francisco Estupiñán-Romero, Natalia Martínez-Lizaga, Micaela Comendeiro-Maaloe, Enrique Bernal-Delgado
These are the outputs produced by the federated infrastructure for data analysis deployed as part of the JA InfAct WP10 T.10.4. Interoperability Pilot on Stroke Care. Participants included the Aragon region, in Spain; the Marché region, in Italy; Za
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b47c28ee6784917aebb2a72bf65089c
BY-COVID - WP5 - Baseline Use Case: COVID-19 vaccine effectiveness assessment - Data Management Plan
Autor:
Natalia Martínez-Lizaga, Marjan Meurisse, Francisco Estupiñan-Romero, Nina Van Goethem, Enrique Bernal-Delgado
This publication corresponds to the Data Management Plan (DMP) for the Baseline Use Case proposed in T.5.2 (WP5) in the BY-COVID project on “COVID-19 Vaccine(s) effectiveness in preventing SARS-CoV-2 infection.” This use case aims to investigate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34af329108fe814c4b3427a5add3937c