Cloud Computing Application Model for Online Recommendation through Fuzzy Logic System

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Cloud computing can offer us different distance services over the internet. We propose an online application model for using health care systems that works by using cloud computing. It can provide a higher quality of services remotely and along with that, it decreases the cost of chronic patients. T...

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Autores principales: Shojaei, Elham, Luque Fadón, Emilio, Rexachs del Rosario, Dolores, Epelde, Francisco
Formato: Articulo
Lenguaje:Inglés
Publicado: 2018
Materias:
Ciencias Informáticas
cloud computing
medical attention system
heart failure
fuzzy logic system
computación en la nube
sistema de atención médica
insuficiencia cardíaca
sistema de lógica difusa
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/71688
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-71688
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
cloud computing
medical attention system
heart failure
fuzzy logic system
computación en la nube
sistema de atención médica
insuficiencia cardíaca
sistema de lógica difusa
spellingShingle Ciencias Informáticas
cloud computing
medical attention system
heart failure
fuzzy logic system
computación en la nube
sistema de atención médica
insuficiencia cardíaca
sistema de lógica difusa
Shojaei, Elham
Luque Fadón, Emilio
Rexachs del Rosario, Dolores
Epelde, Francisco
Cloud Computing Application Model for Online Recommendation through Fuzzy Logic System
topic_facet Ciencias Informáticas
cloud computing
medical attention system
heart failure
fuzzy logic system
computación en la nube
sistema de atención médica
insuficiencia cardíaca
sistema de lógica difusa
description Cloud computing can offer us different distance services over the internet. We propose an online application model for using health care systems that works by using cloud computing. It can provide a higher quality of services remotely and along with that, it decreases the cost of chronic patients. This model is composed of two sub-model, each of which uses a different service. One of these is software as a service (SaaS), which is user related, and the other 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 the Paas model to design this online application model. Based on this classification, patients can receive the proper recommendation through smart devices (SaaS model).
format Articulo
Articulo
author Shojaei, Elham
Luque Fadón, Emilio
Rexachs del Rosario, Dolores
Epelde, Francisco
author_facet Shojaei, Elham
Luque Fadón, Emilio
Rexachs del Rosario, Dolores
Epelde, Francisco
author_sort Shojaei, Elham
title Cloud Computing Application Model for Online Recommendation through 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
publishDate 2018
url http://sedici.unlp.edu.ar/handle/10915/71688
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