Noelia García-Barrio

According to our database, Noelia García-Barrio authored at least 5 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

HCE2RNFC: An Efficient Methodology for Reusing the EHR in the Spanish National Hip Fracture Registry.

Paula Rubio-Mayo, Cristina Ojeda-Thies, María Jesús Jiménez-Cerezo, Noelia García-Barrio, Juan Luis Cruz-Bermúdez, Miguel Pedrera-Jiménez

Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

2022

SurvMaximin: Robust federated approach to transporting survival risk prediction models.

Xuan Wang, Harrison G. Zhang, Xin Xiong, Chuan Hong, Griffin M. Weber, Gabriel A. Brat, Clara-Lea Bonzel, Yuan Luo, Rui Duan, Nathan P. Palmer, Meghan R. Hutch, Alba Gutiérrez-Sacristán, Riccardo Bellazzi, Luca Chiovato, Kelly Cho, Arianna Dagliati, Hossein Estiri, Noelia García-Barrio, Romain Griffier, David A. Hanauer, Yuk-Lam Ho, John H. Holmes, Mark S. Keller, Jeffrey G. Klann, Sehi L'Yi, Sara Lozano-Zahonero, Sarah E. Maidlow, Adeline Makoudjou, Alberto Malovini, Bertrand Moal, Jason H. Moore, Michele Morris, Danielle L. Mowery, Shawn N. Murphy, Antoine Neuraz, Kee Yuan Ngiam, Gilbert S. Omenn, Lav P. Patel, Miguel Pedrera-Jiménez, Andrea Prunotto, Malarkodi J. Samayamuthu, Fernando J. Sanz Vidorreta, Emily Schriver, Petra Schubert, Pablo Serrano-Balazote, Andrew M. South, Amelia L. M. Tan, Byorn W. L. Tan, Valentina Tibollo, Patric Tippmann, Shyam Visweswaran, Zongqi Xia, William Yuan, Daniela Zöller, Isaac S. Kohane, Paul Avillach, Zijian Guo, Tianxi Cai

J. Biomed. Informatics, 2022

Building an i2b2-Based Population Repository for COVID-19 Research.

Miguel Pedrera-Jiménez, Noelia García-Barrio, Gema Hernandez-Ibarburu, Blanca Baselga, Alvar Javier Blanco-Martínez, Fernando Calvo-Boyero, Alba Gutiérrez-Sacristán, Víctor Quiros, Juan Luis Cruz-Bermúdez, José Luis Bernal-Sobrino, Laura Meloni, David Pérez-Rey, Matvey B. Palchuk, Isaac S. Kohane, Pablo Serrano

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

Making EHRs Trustable: A Quality Analysis of EHR-Derived Datasets for COVID-19 Research.

Miguel Pedrera-Jiménez, Noelia García-Barrio, Paula Rubio-Mayo, Guillermo Maestro, Antonio Lalueza, Ana Garcia-Reyne, María José Zamorro, Alejandra Pons, María Jesús Sanchez-Martin, Jaime Cruz-Rojo, Víctor Quiros, José María Aguado, Juan Luis Cruz-Bermúdez, José Luis Bernal, Laura Merson, Carlos Lumbreras, Pablo Serrano

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

2021

Obtaining EHR-derived datasets for COVID-19 research within a short time: a flexible methodology based on Detailed Clinical Models.

Miguel Pedrera-Jiménez, Noelia García-Barrio, Jaime Cruz-Rojo, Ana Isabel Terriza-Torres, Elena Ana López-Jiménez, Fernando Calvo-Boyero, María Jesús Jiménez-Cerezo, Alvar Javier Blanco-Martínez, Gustavo Roig-Domínguez, Juan Luis Cruz-Bermúdez, José Luis Bernal-Sobrino, Pablo Serrano-Balazote, Adolfo Muñoz Carrero

J. Biomed. Informatics, 2021