Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Manuel Carlos Díaz-Galiano"'
Autor:
Pilar López-Úbeda, Manuel Carlos Díaz-Galiano, L. Alfonso Ureña-López, M. Teresa Martín-Valdivia
Publikováno v:
BMC Bioinformatics, Vol 22, Iss S1, Pp 1-17 (2021)
Abstract Background Natural language processing (NLP) and text mining technologies for the extraction and indexing of chemical and drug entities are key to improving the access and integration of information from unstructured data such as biomedical
Externí odkaz:
https://doaj.org/article/4baebaecfa3145d99217f629fa37915f
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-17 (2021)
Abstract Background Controlled vocabularies are fundamental resources for information extraction from clinical texts using natural language processing (NLP). Standard language resources available in the healthcare domain such as the UMLS metathesauru
Externí odkaz:
https://doaj.org/article/2fde6ce264d3403ea3ff5ea536437927
Autor:
Pilar López-Úbeda, Flor Miriam Plaza-del-Arco, Manuel Carlos Díaz-Galiano, Maria-Teresa Martín-Valdivia
Publikováno v:
Applied Sciences, Vol 11, Iss 4, p 1838 (2021)
Anorexia is a mental disorder that involves serious abnormalities in nutritional intake behavior. This behavior leads to significant weight loss, which can lead to severe malnutrition. Specifically, eating disorders exhibit the highest mortality rate
Externí odkaz:
https://doaj.org/article/309f027e566144f2a4ac81f2559bb994
Autor:
Pilar López-Úbeda, Manuel Carlos Díaz-Galiano, Arturo Montejo-Ráez, María-Teresa Martín-Valdivia, L. Alfonso Ureña-López
Publikováno v:
Applied Sciences, Vol 10, Iss 5, p 1726 (2020)
In this paper a novel architecture to build biomedical term identification systems is presented. The architecture combines several sources of information and knowledge bases to provide practical and exploration-enabled biomedical term identification
Externí odkaz:
https://doaj.org/article/e674c15c1ab64bbea6f58936e96c7e1d
Autor:
Manuel Carlos Díaz-Galiano, Pilar López-Úbeda, M. T. Martín-Valdivia, Flor Miriam Plaza-del-Arco
Publikováno v:
Applied Sciences
Volume 11
Issue 4
Applied Sciences, Vol 11, Iss 1838, p 1838 (2021)
Volume 11
Issue 4
Applied Sciences, Vol 11, Iss 1838, p 1838 (2021)
Anorexia is a mental disorder that involves serious abnormalities in nutritional intake behavior. This behavior leads to significant weight loss, which can lead to severe malnutrition. Specifically, eating disorders exhibit the highest mortality rate
Publikováno v:
BMC Medical Informatics and Decision Making
BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-17 (2021)
BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-17 (2021)
Background Controlled vocabularies are fundamental resources for information extraction from clinical texts using natural language processing (NLP). Standard language resources available in the healthcare domain such as the UMLS metathesaurus or SNOM
Autor:
Pilar López-Úbeda, Teodoro Martín-Noguerol, M. Teresa Martín-Valdivia, Antonio Luna, Manuel Carlos Díaz-Galiano, L. Alfonso Ureña-López
Publikováno v:
Computers in Biology and Medicine
COVID-19 diagnosis is usually based on PCR test using radiological images, mainly chest Computed Tomography (CT) for the assessment of lung involvement by COVID-19. However, textual radiological reports also contain relevant information for determini
Autor:
Miriam Plaza-del-Arco, Manuel Carlos Díaz-Galiano, L. Alfonso Ureña-López, Pilar López-Úbeda, M. T. Martín-Valdivia
Publikováno v:
RANLP
Mental health is one of the main concerns of today’s society. Early detection of symptoms can greatly help people with mental disorders. People are using social networks more and more to express emotions, sentiments and mental states. Thus, the tre
Publikováno v:
Proceedings of the Fourth Social Media Mining for Health Applications (#SMM4H) Workshop & Shared Task.
Over time the use of social networks is becoming very popular platforms for sharing health related information. Social Media Mining for Health Applications (SMM4H) provides tasks such as those described in this document to help manage information in
Autor:
Salud María Jiménez-Zafra, Manuel Carlos Díaz-Galiano, Miguel A. García-Cumbreras, Estela Saquete, Arturo Montejo-Ráez
Publikováno v:
SemEval@NAACL-HLT
This paper describes the participation of the SINAI-DL team at RumourEval (Task 7 in SemEval 2019, subtask A: SDQC). SDQC addresses the challenge of rumour stance classification as an indirect way of identifying potential rumours. Given a tweet with