DUGiDocseXiT Research Group at the University of Girona: Artificial Intelligence and Machine Learning Applied to Medicine and Healthcare
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dc.date.accessioned
2020-03-16T11:04:31Z
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2020-03-16T11:04:31Z
dc.date.issued
2018-10
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dc.description
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
dc.description.abstract
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
dc.description.sponsorship
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)
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application/pdf
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eng
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Asociación Española para la Inteligencia Artificial (AEPIA)
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info:eu-repo/grantAgreement/MINECO//DPI2013-47450-C2-1-R/ES/PLATAFORMA PARA LA MONITORIZACION Y EVALUACION DE LA EFICIENCIA DE LOS SISTEMAS DE DISTRIBUCION EN SMART CITIES/
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Versió postprint del document publicat a https://sci2s.ugr.es/caepia18/proceedings/docs/CAEPIA2018_paper_161.pdf
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© 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
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Contribucions a Congressos (D-EEEiA)
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Tots els drets reservats
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dc.title
eXiT Research Group at the University of Girona: Artificial Intelligence and Machine Learning Applied to Medicine and Healthcare
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info:eu-repo/semantics/article
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info:eu-repo/semantics/openAccess
dc.relation.projectID
info:eu-repo/grantAgreement/EC/H2020/689810/EU/Patient Empowerment through Predictive PERsonalised decision support/PEPPER
dc.type.version
info:eu-repo/semantics/acceptedVersion
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