• Mi Re-Unir
    Búsqueda Avanzada
    JavaScript is disabled for your browser. Some features of this site may not work without it.
    Ver ítem 
    •   Inicio
    • UNIR REVISTAS
    • Revista IJIMAI
    • 2018
    • vol. 4, nº 7, march 2018
    • Ver ítem
    •   Inicio
    • UNIR REVISTAS
    • Revista IJIMAI
    • 2018
    • vol. 4, nº 7, march 2018
    • Ver ítem

    DataCare: Big Data Analytics Solution for Intelligent Healthcare Management

    Autor: 
    Saez, Yago
    ;
    Baldominos Gómez, Alejandro
    ;
    Rada, Fernando
    Fecha: 
    03/2018
    Palabra clave: 
    artificial intelligence; architecture; managemet systems; big data; e-health; IJIMAI
    Tipo de Ítem: 
    article
    URI: 
    https://reunir.unir.net/handle/123456789/11904
    DOI: 
    http://doi.org/10.9781/ijimai.2017.03.002
    Dirección web: 
    https://www.ijimai.org/journal/bibcite/reference/2614
    Open Access
    Resumen:
    This paper presents DataCare, a solution for intelligent healthcare management. This product is able not only to retrieve and aggregate data from different key performance indicators in healthcare centers, but also to estimate future values for these key performance indicators and, as a result, fire early alerts when undesirable values are about to occur or provide recommendations to improve the quality of service. DataCare’s core processes are built over a free and open-source cross-platform document-oriented database (MongoDB), and Apache Spark, an open-source cluster-computing framework. This architecture ensures high scalability capable of processing very high data volumes coming at fast speed from a large set of sources. This article describes the architecture designed for this project and the results obtained after conducting a pilot in a healthcare center. Useful conclusions have been drawn regarding how key performance indicators change based on different situations, and how they affect patients’ satisfaction.
    Mostrar el registro completo del ítem
    Ficheros en el ítem
    icon
    Nombre: ijimai_4_7_2_pdf_16566.pdf
    Tamaño: 766.4Kb
    Formato: application/pdf
    Ver/Abrir
    Este ítem aparece en la(s) siguiente(s) colección(es)
    • vol. 4, nº 7, march 2018

    Estadísticas de uso

    Año
    2012
    2013
    2014
    2015
    2016
    2017
    2018
    2019
    2020
    2021
    2022
    Vistas
    0
    0
    0
    0
    0
    0
    0
    0
    0
    21
    33
    Descargas
    0
    0
    0
    0
    0
    0
    0
    0
    0
    11
    13

    Ítems relacionados

    Mostrando ítems relacionados por Título, autor o materia.

    • AWS PredSpot: Machine Learning for Predicting the Price of Spot Instances in AWS Cloud 

      Baldominos Gómez, Alejandro; Saez, Yago; Quintana, David; Isasi, Pedro (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2022)
      Elastic Cloud Compute (EC2) is one of the most well-known services provided by Amazon for provisioning cloud computing resources, also known as instances. Besides the classical on-demand scheme, where users purchase compute ...
    • Real-Time Prediction of Gamers Behavior Using Variable Order Markov and Big Data Technology: A Case of Study 

      Baldominos, Alejandro; Albacete, Esperanza; Marrero, Ignacio; Saez, Yago (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2016)
      This paper presents the results and conclusions found when predicting the behavior of gamers in commercial videogames datasets. In particular, it uses Variable-Order Markov (VOM) to build a probabilistic model that is ...
    • TV Series and Social Media: Powerful Engagement Factors in Mobile Video Games 

      Saez, Yago; Mochón, Asunción; Rada, Fernando (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2018)
      The free-to-play business model has become hegemonic in the mobile video game industry, displacing the traditional paid content model that was the norm until the appearance of manufacturers’ app stores. Companies attempt ...

    Mi cuenta

    AccederRegistrar

    ¿necesitas ayuda?

    Manual de UsuarioAutorización TFG-M

    Listar

    todo Re-UnirComunidades y coleccionesPor fecha de publicaciónAutoresTítulosPalabras claveTipo documentoTipo de accesoEsta colecciónPor fecha de publicaciónAutoresTítulosPalabras claveTipo documentoTipo de acceso






    Aviso Legal Política de Privacidad Política de Cookies Cláusulas legales RGPD
    © UNIR - Universidad Internacional de La Rioja
     
    Aviso Legal Política de Privacidad Política de Cookies Cláusulas legales RGPD
    © UNIR - Universidad Internacional de La Rioja