Zobrazeno 1 - 10
of 18
pro vyhledávání: '"María Del Carmen Legaz-García"'
Autor:
Fernando Pérez-Sanz, Miriam Riquelme-Pérez, Enrique Martínez-Barba, Jesús de la Peña-Moral, Alejandro Salazar Nicolás, Marina Carpes-Ruiz, Angel Esteban-Gil, María Del Carmen Legaz-García, María Antonia Parreño-González, Pablo Ramírez, Carlos M. Martínez
Publikováno v:
Sensors, Vol 21, Iss 6, p 1993 (2021)
Liver transplantation is the only curative treatment option in patients diagnosed with end-stage liver disease. The low availability of organs demands an accurate selection procedure based on histological analysis, in order to evaluate the allograft.
Externí odkaz:
https://doaj.org/article/f29c3576cb6c45739308fe482051f8f8
Autor:
José M. García, María del Carmen Legaz-García, Jesualdo Tomás Fernández-Breis, José Antonio Bernabé-Díaz
Publikováno v:
Expert Systems with Applications. 133:198-214
The digital age is making more datasets available through the Internet, but their interoperability is still limited. The Semantic Web should play a fundamental role in achieving interoperable datasets. The semantic exploitation of data requires its e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0420f37728b604a530a1052297032ad0
https://doi.org/10.1016/j.eswa.2019.05.010
https://doi.org/10.1016/j.eswa.2019.05.010
Autor:
Marina Carpes-Ruiz, Alejandro Salazar Nicolás, Jesús de la Peña-Moral, María del Carmen Legaz-García, Enrique Martínez-Barba, Miriam Riquelme-Perez, Angel Esteban-Gil, Fernando Perez-Sanz, Carlos Martinez, María Antonia Parreño-González, Pablo Ramírez
Publikováno v:
Sensors, Vol 21, Iss 1993, p 1993 (2021)
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 6
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 6
Liver transplantation is the only curative treatment option in patients diagnosed with end-stage liver disease. The low availability of organs demands an accurate selection procedure based on histological analysis, in order to evaluate the allograft.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3d5ee484c6f79e1987d74a895cadd14
https://www.mdpi.com/1424-8220/21/6/1993
https://www.mdpi.com/1424-8220/21/6/1993
Autor:
María Antonia Parreño-González, Pablo Conesa-Zamora, Ondrej Slaby, Fernando Perez-Sanz, José García-Solano, Markus J. Mäkinen, Jesualdo Tomás Fernández-Breis, María del Carmen Legaz-García, Begoña Alburquerque-González, Paola Pimentel, Edith Rodriguez-Braun, Anne Tuomisto, Angel Esteban-Gil
Publikováno v:
Scientific Data
Scientific Data, Vol 6, Iss 1, Pp 1-14 (2019)
Scientific Data, Vol 6, Iss 1, Pp 1-14 (2019)
Colorectal cancer (CRC) is the third leading cause of cancer mortality worldwide. Different pathological pathways and molecular drivers have been described and some of the associated markers are used to select effective anti-neoplastic therapy. More
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfe9193ab6ef303936ccf1bf957e5969
Autor:
Vicente Miguel Giménez-Solano, José Alberto Maldonado, Begoña Martínez-Salvador, María del Carmen Legaz-García, Jesualdo Tomás Fernández-Breis, Mar Marcos
Publikováno v:
Computer Methods and Programs in Biomedicine. 197:105616
Background and Objective Effective sharing and reuse of Electronic Health Records (EHR) requires technological solutions which deal with different representations and different models of data. This includes information models, domain models and, idea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9695b949e790a63413bcb623f6ff24c
https://doi.org/10.1016/j.cmpb.2020.105616
https://doi.org/10.1016/j.cmpb.2020.105616
Autor:
María del Carmen Legaz-García, Marcos Menárguez-Tortosa, Catalina Martínez-Costa, Jesualdo Tomás Fernández-Breis
Publikováno v:
Knowledge-Based Systems. 105:175-189
The advent of electronic healthcare records (EHR) systems has triggered the need for their semantic interoperability, which is reinforced by the opportunities for the secondary use of EHR data. The joint use of EHR standards and semantic resources ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1fc33b84f17e992dd2c10ac42a50d822
https://doi.org/10.1016/j.knosys.2016.05.016
https://doi.org/10.1016/j.knosys.2016.05.016
Autor:
María del Carmen Legaz-García, Ana Ruiz Martínez, Dagoberto Castellanos Nieves, Carlos Cruz Corona, Juan Mulero Hernández, Jesualdo Tomás Fernández-Breis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9a703360ec0eec9c4d26f131ad50c15
https://doi.org/10.2307/j.ctt22p7gtz.7
https://doi.org/10.2307/j.ctt22p7gtz.7
Autor:
Jesualdo Tomás Fernández-Breis, José Antonio Bernabé-Díaz, José M. García, María del Carmen Legaz-García
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319777023
WorldCIST (1)
WorldCIST (1)
The growth of the Life Science Semantic Web is illustrated by the increasing number of resources available in the Linked Open Data Cloud. Our SWIT tool supports the generation of semantic repositories, and it has been successfully applied in the fiel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ea00f271f3af12587eee5a2e32865aa
https://doi.org/10.1007/978-3-319-77703-0_69
https://doi.org/10.1007/978-3-319-77703-0_69
Autor:
Christopher G. Chute, Cui Tao, María del Carmen Legaz-García, Marcos Menárguez-Tortosa, Jesualdo Tomás Fernández-Breis
Publikováno v:
Journal of the American Medical Informatics Association. 22:536-544
Introduction The semantic interoperability of electronic healthcare records (EHRs) systems is a major challenge in the medical informatics area. International initiatives pursue the use of semantically interoperable clinical models, and ontologies ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20aa0040132a1e338c5f47fd0674060f
https://doi.org/10.1093/jamia/ocu027
https://doi.org/10.1093/jamia/ocu027
Autor:
María Del Carmen, Legaz-García, Kathrin, Dentler, Jesualdo Tomás, Fernández-Breis, Ronald, Cornet
Publikováno v:
Studies in health technology and informatics. 235
ArchMS is a framework that represents clinical information and knowledge using ontologies in OWL, which facilitates semantic interoperability and thereby the exploitation and secondary use of clinical data. However, it does not yet support the automa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::8460aa6fdcdbad547b1969387e8e5469
https://pubmed.ncbi.nlm.nih.gov/28423826
https://pubmed.ncbi.nlm.nih.gov/28423826