{ "dc.contributor.author": "López Ibáñez, Beatriz" , "dc.contributor.author": "Mordvanyuk, Natalia" , "dc.contributor.author": "Massana i Raurich, Joaquim" , "dc.contributor.author": "Torrent-Fontbona, Ferran" , "dc.contributor.author": "Cáceres Bartrolí, Gerard" , "dc.contributor.author": "Pous i Sabadí, Carles" , "dc.date.accessioned": "2020-03-16T11:04:31Z" , "dc.date.available": "2020-03-16T11:04:31Z" , "dc.date.issued": "2018-10" , "dc.identifier.uri": "http://hdl.handle.net/10256/17832" , "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)" , "dc.format.mimetype": "application/pdf" , "dc.language.iso": "eng" , "dc.publisher": "Asociación Española para la Inteligencia Artificial (AEPIA)" , "dc.relation": "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/" , "dc.relation.isformatof": "Versió postprint del document publicat a https://sci2s.ugr.es/caepia18/proceedings/docs/CAEPIA2018_paper_161.pdf" , "dc.relation.ispartof": "© 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" , "dc.relation.ispartofseries": "Contribucions a Congressos (D-EEEiA)" , "dc.rights": "Tots els drets reservats" , "dc.subject": "Raonament basat en casos -- Congressos" , "dc.subject": "Diagnòstic -- Presa de decisions -- Congressos" , "dc.subject": "Diagnosis -- Decision making -- Congresses" , "dc.subject": "Sistemes d'ajuda a la decisió -- Congressos" , "dc.subject": "Decision support systems -- Congresses" , "dc.subject": "Intel·ligència artificial -- Aplicacions a la medicina -- Congressos" , "dc.subject": "Artificial intelligence -- Medical applications -- Congresses" , "dc.title": "eXiT Research Group at the University of Girona: Artificial Intelligence and Machine Learning Applied to Medicine and Healthcare" , "dc.type": "info:eu-repo/semantics/article" , "dc.rights.accessRights": "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" , "dc.relation.FundingProgramme": "H2020" , "dc.relation.ProjectAcronym": "PEPPER" , "dc.relation.ProjectAcronym": "PLATAFORMA PARA LA MONITORIZACION Y EVALUACION DE LA EFICIENCIA DE LOS SISTEMAS DE DISTRIBUCION EN SMART CITIES" }