Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Dorado Díaz, A."'
Autor:
Francisco García-Peñalvo, Andrea Vázquez-Ingelmo, Alicia García-Holgado, Jesús Sampedro-Gómez, Antonio Sánchez-Puente, Víctor Vicente-Palacios, P. Ignacio Dorado-Díaz, Pedro L. Sánchez
Publikováno v:
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 8, Iss 6, Pp 112-119 (2024)
Machine Learning (ML) has extended its use in several domains to support complex analyses of data. The medical field, in which significant quantities of data are continuously generated, is one of the domains that can benefit from the application of M
Externí odkaz:
https://doaj.org/article/d2a1b720945e44dabbc15defbfd14e3f
Autor:
Toussaint, Wiebke, Van Veen, Dave, Irwin, Courtney, Nachmany, Yoni, Barreiro-Perez, Manuel, Díaz-Peláez, Elena, de Sousa, Sara Guerreiro, Millán, Liliana, Sánchez, Pedro L., Sánchez-Puente, Antonio, Sampedro-Gómez, Jesús, Dorado-Díaz, P. Ignacio, Vicente-Palacios, Víctor
Deep learning has the potential to automate echocardiogram analysis for early detection of heart disease. Based on a qualitative analysis of design concerns, this study suggests that predicting normal heart function instead of disease accounts for da
Externí odkaz:
http://arxiv.org/abs/2006.06292
Autor:
Sánchez-Puente, Antonio, Dorado-Díaz, P. Ignacio, Sampedro-Gómez, Jesús, Bermejo, Javier, Martinez-Legazpi, Pablo, Fernández-Avilés, Francisco, Sánchez-González, Javier, Pérez del Villar, Candelas, Vicente-Palacios, Víctor, Sanchez, Pedro L.
Publikováno v:
In JACC: Cardiovascular Imaging June 2023 16(6):733-744
Autor:
Alicia García-Holgado, Andrea Vázquez-Ingelmo, Julia Alonso-Sánchez, Francisco José García-Peñalvo, Roberto Therón, Jesús Sampedro-Gómez, Antonio Sánchez-Puente, Víctor Vicente-Palacios, P. Ignacio Dorado-Díaz, Pedro L. Sánchez
Publikováno v:
Journal on Interactive Systems, Vol 13, Iss 1, Pp 154-165 (2022)
Machine Learning allows facing complex tasks related to data analysis with big datasets. This Artificial Intelligence branch allows not technical contexts to get benefits related to data processing and analysis. In particular, in medicine, medical pr
Externí odkaz:
https://doaj.org/article/0d656bb3e9994dbba6a8235f43be24ce
Autor:
Francisco García-Peñalvo, Andrea Vázquez-Ingelmo, Alicia García-Holgado, Jesús Sampedro-Gómez, Antonio Sánchez-Puente, Víctor Vicente-Palacios, P. Ignacio Dorado-Díaz, Pedro L. Sánchez
Publikováno v:
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 6, Iss 6, Pp 46-53 (2021)
The use of advanced algorithms and models such as Machine Learning, Deep Learning and other related approaches of Artificial Intelligence have grown in their use given their benefits in different contexts. One of these contexts is the medical domain,
Externí odkaz:
https://doaj.org/article/fdc9acb806e34d19aabad03ae0824cb7
Autor:
José García-Peñalvo, Francisco, Vázquez-Ingelmo, Andrea, García-Holgado, Alicia, Sampedro-Gómez, Jesús, Sánchez-Puente, Antonio, Vicente-Palacios, Víctor, Ignacio Dorado-Díaz, P., Sánchez, Pedro L.
Publikováno v:
International Journal of Interactive Multimedia & Artificial Intelligence; Jun2024, Vol. 8 Issue 6, p112-119, 8p
Autor:
Sampedro-Gómez, Jesús, Dorado-Díaz, P. Ignacio, Vicente-Palacios, Víctor, Sánchez-Puente, Antonio, Jiménez-Navarro, Manuel, San Roman, J. Alberto, Galindo-Villardón, Purificación, Sanchez, Pedro L., Fernández-Avilés, Francisco
Publikováno v:
In Canadian Journal of Cardiology October 2020 36(10):1624-1632
Akademický článek
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Akademický článek
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Autor:
Miguel Marcos, Moncef Belhassen-García, Antonio Sánchez-Puente, Jesús Sampedro-Gomez, Raúl Azibeiro, Pedro-Ignacio Dorado-Díaz, Edgar Marcano-Millán, Carolina García-Vidal, María-Teresa Moreiro-Barroso, Noelia Cubino-Bóveda, María-Luisa Pérez-García, Beatriz Rodríguez-Alonso, Daniel Encinas-Sánchez, Sonia Peña-Balbuena, Eduardo Sobejano-Fuertes, Sandra Inés, Cristina Carbonell, Miriam López-Parra, Fernanda Andrade-Meira, Amparo López-Bernús, Catalina Lorenzo, Adela Carpio, David Polo-San-Ricardo, Miguel-Vicente Sánchez-Hernández, Rafael Borrás, Víctor Sagredo-Meneses, Pedro-Luis Sanchez, Alex Soriano, José-Ángel Martín-Oterino
Publikováno v:
PLoS ONE, Vol 16, Iss 4, p e0240200 (2021)
BackgroundEfficient and early triage of hospitalized Covid-19 patients to detect those with higher risk of severe disease is essential for appropriate case management.MethodsWe trained, validated, and externally tested a machine-learning model to ear
Externí odkaz:
https://doaj.org/article/b898137880bf43dabeed06095d51ff3e