Cloud computing application model for online recommendation through fuzzy logic system

Autores
Shojaei, Elham; Luque Fadón, Emilio; Rexachs del Rosario, Dolores; Epelde, Francisco
Año de publicación
2018
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Cloud computing can offer us different distance services over the internet. We propose an online application model for health care systems that works by use of cloud computing. It can provide a higher quality of services remotely and along with that, it decreases the cost of chronic patient. This model is composed of two sub-model that each one uses a different service, one of these is software as a service (SaaS) which is user related and another one is Platform as a service (PaaS) that is engineer related. Doctors classify the chronic diseases into different stages according to their symptoms. As the clinical data has a non-numeric value, we use the fuzzy logic system in Paas model to design this online application model. Based on this classification, patienst can receive the proper recommendation through smart devices (SaaS model).
Facultad de Informática
Materia
Ciencias Informáticas
cloud computing
medicina
cloud computing, health care system, heart failure, fuzzy logic system
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/69916
Acceder
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network_name_str SEDICI (UNLP)
spelling Cloud computing application model for online recommendation through fuzzy logic systemShojaei, ElhamLuque Fadón, EmilioRexachs del Rosario, DoloresEpelde, FranciscoCiencias Informáticascloud computingmedicinacloud computing, health care system, heart failure, fuzzy logic systemCloud computing can offer us different distance services over the internet. We propose an online application model for health care systems that works by use of cloud computing. It can provide a higher quality of services remotely and along with that, it decreases the cost of chronic patient. This model is composed of two sub-model that each one uses a different service, one of these is software as a service (SaaS) which is user related and another one is Platform as a service (PaaS) that is engineer related. Doctors classify the chronic diseases into different stages according to their symptoms. As the clinical data has a non-numeric value, we use the fuzzy logic system in Paas model to design this online application model. Based on this classification, patienst can receive the proper recommendation through smart devices (SaaS model).Facultad de Informática2018-06info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf46-61http://sedici.unlp.edu.ar/handle/10915/69916enginfo:eu-repo/semantics/altIdentifier/isbn/978-950-34-1659-4info:eu-repo/semantics/reference/hdl/10915/69464info:eu-repo/semantics/reference/hdl/10915/71688info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-11-26T09:49:04Zoai:sedici.unlp.edu.ar:10915/69916Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-11-26 09:49:04.526SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Cloud computing application model for online recommendation through fuzzy logic system
title Cloud computing application model for online recommendation through fuzzy logic system
spellingShingle Cloud computing application model for online recommendation through fuzzy logic system
Shojaei, Elham
Ciencias Informáticas
cloud computing
medicina
cloud computing, health care system, heart failure, fuzzy logic system
title_short Cloud computing application model for online recommendation through fuzzy logic system
title_full Cloud computing application model for online recommendation through fuzzy logic system
title_fullStr Cloud computing application model for online recommendation through fuzzy logic system
title_full_unstemmed Cloud computing application model for online recommendation through fuzzy logic system
title_sort Cloud computing application model for online recommendation through fuzzy logic system
dc.creator.none.fl_str_mv Shojaei, Elham
Luque Fadón, Emilio
Rexachs del Rosario, Dolores
Epelde, Francisco
author Shojaei, Elham
author_facet Shojaei, Elham
Luque Fadón, Emilio
Rexachs del Rosario, Dolores
Epelde, Francisco
author_role author
author2 Luque Fadón, Emilio
Rexachs del Rosario, Dolores
Epelde, Francisco
author2_role author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
cloud computing
medicina
cloud computing, health care system, heart failure, fuzzy logic system
topic Ciencias Informáticas
cloud computing
medicina
cloud computing, health care system, heart failure, fuzzy logic system
dc.description.none.fl_txt_mv Cloud computing can offer us different distance services over the internet. We propose an online application model for health care systems that works by use of cloud computing. It can provide a higher quality of services remotely and along with that, it decreases the cost of chronic patient. This model is composed of two sub-model that each one uses a different service, one of these is software as a service (SaaS) which is user related and another one is Platform as a service (PaaS) that is engineer related. Doctors classify the chronic diseases into different stages according to their symptoms. As the clinical data has a non-numeric value, we use the fuzzy logic system in Paas model to design this online application model. Based on this classification, patienst can receive the proper recommendation through smart devices (SaaS model).
Facultad de Informática
description Cloud computing can offer us different distance services over the internet. We propose an online application model for health care systems that works by use of cloud computing. It can provide a higher quality of services remotely and along with that, it decreases the cost of chronic patient. This model is composed of two sub-model that each one uses a different service, one of these is software as a service (SaaS) which is user related and another one is Platform as a service (PaaS) that is engineer related. Doctors classify the chronic diseases into different stages according to their symptoms. As the clinical data has a non-numeric value, we use the fuzzy logic system in Paas model to design this online application model. Based on this classification, patienst can receive the proper recommendation through smart devices (SaaS model).
publishDate 2018
dc.date.none.fl_str_mv 2018-06
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/69916
url http://sedici.unlp.edu.ar/handle/10915/69916
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-950-34-1659-4
info:eu-repo/semantics/reference/hdl/10915/69464
info:eu-repo/semantics/reference/hdl/10915/71688
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
46-61
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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