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eXiT Research Group at the University of Girona: Artificial Intelligence and Machine Learning Applied to Medicine and Healthcare

Comunicació presentada al I Workshop de Grupos de Investigación Españoles de IA en Biomedicina (IABiomed 2018) : XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018) : Granada, 23-26 de octubre de 2018

This paper describes the research activity of the eXiT research group at the Universitat of Girona and the main results achieved. The research is organized in four main groups: prognosis, clinical decision support systems, mHealth, and biosignal processing. The paper describes past, current and future research of the group

This project has received funding from the European Unions Horizon 2020 research and innovation programme under grant agreement No 689810 (PEPPER). Work developed with the support of the awarded distinction by the Generalitat de Catalunya 2017 SGR 1551, the MESC project funded by the Spanish MINECO (Ref. DPI2013-47450-C21-R), and the University of Girona grant to supporting research groups to improve their scientific productivity (MPCUdG2016)

© Herrera, F. et al. (eds.) (2018). XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): 23-26 de octubre de 2018: Granada, España, p. 1273-1278

Asociación Española para la Inteligencia Artificial (AEPIA)

Author: López Ibáñez, Beatriz
Mordvanyuk, Natalia
Massana i Raurich, Joaquim
Torrent-Fontbona, Ferran
Cáceres, Gerard
Pous i Sabadí, Carles
Date: 2018 October
Abstract: Comunicació presentada al I Workshop de Grupos de Investigación Españoles de IA en Biomedicina (IABiomed 2018) : XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018) : Granada, 23-26 de octubre de 2018
This paper describes the research activity of the eXiT research group at the Universitat of Girona and the main results achieved. The research is organized in four main groups: prognosis, clinical decision support systems, mHealth, and biosignal processing. The paper describes past, current and future research of the group
This project has received funding from the European Unions Horizon 2020 research and innovation programme under grant agreement No 689810 (PEPPER). Work developed with the support of the awarded distinction by the Generalitat de Catalunya 2017 SGR 1551, the MESC project funded by the Spanish MINECO (Ref. DPI2013-47450-C21-R), and the University of Girona grant to supporting research groups to improve their scientific productivity (MPCUdG2016)
Format: application/pdf
Document access: http://hdl.handle.net/10256/17832
Language: eng
Publisher: Asociación Española para la Inteligencia Artificial (AEPIA)
Collection: MINECO/PE 2014-2016/DPI2013-47450-C2-1-R
Versió postprint del document publicat a https://sci2s.ugr.es/caepia18/proceedings/docs/CAEPIA2018_paper_161.pdf
Contribucions a Congressos (D-EEEiA)
info:eu-repo/grantAgreement/EC/H2020/689810
Is part of: © Herrera, F. et al. (eds.) (2018). XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): 23-26 de octubre de 2018: Granada, España, p. 1273-1278
Rights: Tots els drets reservats
Subject: Raonament basat en casos
Raonament basat en casos
Diagnòstic -- Presa de decisions
Diagnosis -- Decision making
Sistemes d’ajuda a la decisió
Decision support systems
Intel·ligència artificial -- Aplicacions a la medicina
Artificial intelligence -- Medical applications
Title: eXiT Research Group at the University of Girona: Artificial Intelligence and Machine Learning Applied to Medicine and Healthcare
Type: info:eu-repo/semantics/article
Repository: DUGiDocs

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