Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Darío Filippo"'
Autor:
Hanna Suominen, Gabriella Pasi, Liadh Kelly, Lorraine Goeuriot, Franco M. Luque, Nicola Brew-Sam, Sandaru Seneviratne, Laura Alonso Alemany, Philippe Mulhem, Jorge Vivaldi, Viviana Cotik, Roland Roller, Chenchen Xu, Darío Filippo, Gabriela Gonzalez Saez, Marco Viviani
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030722395
ECIR (2)
ECIR (2)
Motivated by the ever increasing difficulties faced by laypeople in retrieving and digesting valid and relevant information to make health-centred decisions, the CLEF eHealth lab series has offered shared tasks to the community in the fields of Infor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d60e604eb12bc10be8b9254f28e033cc
http://hdl.handle.net/10281/319449
http://hdl.handle.net/10281/319449
Autor:
Rishabh Upadhyay, Nicola Brew-Sam, Jorge Vivaldi, Marco Viviani, Viviana Cotik, Hanna Suominen, Elias Bassani, Roland Roller, Chenchen Xu, Gabriela Nicole González-Sáez, Darío Filippo, Philippe Mulhem, Liadh Kelly, Gabriella Pasi, Lorraine Goeuriot, Franco M. Luque, Laura Alonso Alemany, Sandaru Seneviratne
Publikováno v:
Experimental IR Meets Multilinguality, Multimodality, and Interaction
Experimental IR Meets Multilinguality, Multimodality, and Interaction, 12880, Springer International Publishing, pp.308-323, 2021, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-85251-1_21⟩
Lecture Notes in Computer Science ISBN: 9783030852504
CLEF
Experimental IR Meets Multilinguality, Multimodality, and Interaction, 12880, Springer International Publishing, pp.308-323, 2021, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-85251-1_21⟩
Lecture Notes in Computer Science ISBN: 9783030852504
CLEF
In this paper, we provide an overview of the ninth annual edition of the CLEF eHealth evaluation lab. CLEF eHealth 2021 continues our evaluation resource building efforts around the easing and support of patients, their next-of-kins, health care prof
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40809334a066e46d47cf1dc7bb555688
https://hdl.handle.net/10281/418878
https://hdl.handle.net/10281/418878
Autor:
Ninoska Godoy, Darío Filippo, Mirian Muñoz, Vanesa Stricker, Ricardo Martínez-Gamboa, Walter Koza, Viviana Cotik, Natalia Rivas
Publikováno v:
Journal of Digital Imaging. 32:19-29
We present a methodology for the automatic recognition of negated findings in radiological reports considering morphological, syntactic, and semantic information. In order to achieve this goal, a series of rules for processing lexical and syntactic i
Autor:
Juan C Hernández, Victoria Allende, Dalia Sepúlveda Arriagada, Laura Collado, Leopoldo Lonegro, Eduardo Stéfano, Darío Filippo, Rodolfo Goyeneche, Graciela Infesta, Juliana Lostra, Horacio Miscione, Silvia Caino, J Javier Masquijo, Martín D'Elía, Alberto Navarro Fretes, Virginia Fano, Guillermo Fernández, Rosario Ramos Mejía, Mónica Galeano, Claudia Casalis
Publikováno v:
Archivos Argentinos de Pediatria. 117
Leg length discrepancy is when the length of one leg is different from the other, and is a common reason for consultation at the pediatrician's and pediatric orthopedist's office. The objective of this study was to develop recommendations for the fol
Autor:
Mirian Muñoz, Walter Koza, Natalia Rivas, Vanesa Stricker, Ricardo Martínez, Ninoska Godoy, Viviana Cotik, Darío Filippo
Publikováno v:
Natural Language Processing and Information Systems ISBN: 9783319919461
NLDB
NLDB
The objective of this study is to develop a methodology for the automatic detection of negated findings in radiological reports which takes into account semantic and syntactic descriptions, as well as morphological and syntactic analysis rules. In or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e7f0f1e79bc503e2158d76df43cf19b
https://doi.org/10.1007/978-3-319-91947-8_30
https://doi.org/10.1007/978-3-319-91947-8_30
Publikováno v:
RANLP
Radiology reports express the results of a radiology study and contain information about anatomical entities, findings, measures and impressions of the medical doctor. The use of information extraction techniques can help physicians to access this in
Publikováno v:
Studies in health technology and informatics. 216
Automatic detection of relevant terms in medical reports is useful for educational purposes and for clinical research. Natural language processing (NLP) techniques can be applied in order to identify them. In this work we present an approach to class