Výsledky vyhledávání - "Casimiro Pio-Carrino"

Akademický článek

Vickybot, a Chatbot for Anxiety-Depressive Symptoms and Work-Related Burnout in Primary Care and Health Care Professionals: Development, Feasibility, and Potential Effectiveness Studies

Autor: Gerard Anmella, Miriam Sanabra, Mireia Primé-Tous, Xavier Segú, Myriam Cavero, Ivette Morilla, Iria Grande, Victoria Ruiz, Ariadna Mas, Inés Martín-Villalba, Alejandro Caballo, Julia-Parisad Esteva, Arturo Rodríguez-Rey, Flavia Piazza, Francisco José Valdesoiro, Claudia Rodriguez-Torrella, Marta Espinosa, Giulia Virgili, Carlota Sorroche, Alicia Ruiz, Aleix Solanes, Joaquim Radua, María Antonieta Also, Elisenda Sant, Sandra Murgui, Mireia Sans-Corrales, Allan H Young, Victor Vicens, Jordi Blanch, Elsa Caballeria, Hugo López-Pelayo, Clara López, Victoria Olivé, Laura Pujol, Sebastiana Quesada, Brisa Solé, Carla Torrent, Anabel Martínez-Aran, Joana Guarch, Ricard Navinés, Andrea Murru, Giovanna Fico, Michele de Prisco, Vicenzo Oliva, Silvia Amoretti, Casimiro Pio-Carrino, María Fernández-Canseco, Marta Villegas, Eduard Vieta, Diego Hidalgo-Mazzei

Publikováno v: Journal of Medical Internet Research, Vol 25, p e43293 (2023)

BackgroundMany people attending primary care (PC) have anxiety-depressive symptoms and work-related burnout compounded by a lack of resources to meet their needs. The COVID-19 pandemic has exacerbated this problem, and digital tools have been propose

Externí odkaz: https://doaj.org/article/f2b0c71895dd4e24a0f7418d76017ecb

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Vickybot, a Chatbot for Anxiety-Depressive Symptoms and Work-Related Burnout in Primary Care and Health Care Professionals: Development, Feasibility, and Potential Effectiveness Studies (Preprint)

BACKGROUND Many people attending primary care (PC) have anxiety-depressive symptoms and work-related burnout compounded by a lack of resources to meet their needs. The COVID-19 pandemic has exacerbated this problem, and digital tools have been propos

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::543ae61dabdca7f775fb42eb56261e78
https://doi.org/10.2196/preprints.43293

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Pre-trained biomedical language models for clinical NLP in Spanish

Autor: Casimiro Pio Carrino, Joan Llop, Marc Pàmies, Asier Gutiérrez-Fandiño, Jordi Armengol-Estapé, Joaquín Silveira-Ocampo, Alfonso Valencia, Aitor Gonzalez-Agirre, Marta Villegas

This work presents the first large-scale biomedical Spanish language models trained from scratch, using large biomedical corpora consisting of a total of 1.1B tokens and an EHR corpus of 95M tokens. We compared them against general-domain and other d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8a93220592539856ae790aa08eb70e0
https://hdl.handle.net/2117/374590

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Predicting the evolution of COVID-19 mortality risk: A Recurrent Neural Network approach

Autor: Marta Villegas, Aitor Gonzalez-Agirre, Noelia Garcia, Felipe Soares, Casimiro Pio Carrino, David Pérez Fernández, Pablo Serrano, Asier Gutiérrez-Fandiño, Alfonso Valencia, Jordi Armengol-Estapé, Miguel Pedrera

Publikováno v: Computer methods and programs in biomedicine update. 3

BackgroundThe propagation of COVID-19 in Spain prompted the declaration of the state of alarm on March 14, 2020. On 2 December 2020, the infection had been confirmed in 1,665,775 patients and caused 45,784 deaths. This unprecedented health crisis cha

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30f40b9324c10de5a345989cab556aa7
https://pubmed.ncbi.nlm.nih.gov/36593771

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Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan

Autor: Aitor Gonzalez-Agirre, Carlos Rodriguez-Penagos, Carme Armentano-Oller, Casimiro Pio Carrino, Jordi Armengol-Estapé, Marta Villegas, Maite Melero, Ona de Gibert Bonet

Publikováno v: ACL/IJCNLP (Findings)

Multilingual language models have been a crucial breakthrough as they considerably reduce the need of data for under-resourced languages. Nevertheless, the superiority of language-specific models has already been proven for languages having access to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::575ed20002b3f096d73040639ffe7fa0
https://doi.org/10.18653/v1/2021.findings-acl.437

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Terminology-aware segmentation and domain feature for the WMT19 biomedical translation task

Autor: Marta R. Costa-jussà, Casimiro Pio Carrino, Bardia Rafieian, José A. R. Fonollosa

Publikováno v: Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
WMT (3)

In this work, we give a description of the TALP-UPC systems submitted for the WMT19 Biomedical Translation Task. Our proposed strategy is NMT model-independent and relies only on one ingredient, a biomedical terminology list. We first extracted such

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49830f9c4813ad446581ce5c439bb22f
http://hdl.handle.net/2117/169547

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Akademický článek

Predicting the evolution of COVID-19 mortality risk: A Recurrent Neural Network approach

Autor: Marta Villegas, Aitor Gonzalez-Agirre, Asier Gutiérrez-Fandiño, Jordi Armengol-Estapé, Casimiro Pio Carrino, David Pérez-Fernández, Felipe Soares, Pablo Serrano, Miguel Pedrera, Noelia García, Alfonso Valencia

Publikováno v: Computer Methods and Programs in Biomedicine Update, Vol 3, Iss , Pp 100089- (2023)

Background:: In December 2020, the COVID-19 disease was confirmed in 1,665,775 patients and caused 45,784 deaths in Spain. At that time, health decision support systems were identified as crucial against the pandemic. Methods:: This study applies Dee

Externí odkaz: https://doaj.org/article/c1088fb40d504afba9e532b9339bc70c

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