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  • Title: Integrating medical and research information: a big data approach.
    Author: Tilve Álvarez CM, Ayora Pais A, Ruíz Romero C, Llamas Gómez D, Carrajo García L, Blanco García FJ, Vázquez González G.
    Journal: Stud Health Technol Inform; 2015; 210():707-11. PubMed ID: 25991244.
    Abstract:
    Most of the information collected in different fields by Instituto de Investigación Biomédica de A Coruña (INIBIC) is classified as unstructured due to its high volume and heterogeneity. This situation, linked to the recent requirement of integrating it to the medical information, makes it necessary to implant specific architectures to collect and organize it before it can be analysed. The purpose of this article is to present the Hadoop framework as a solution to the problem of integrating research information in the Business Intelligence field. This framework can collect, explore, process and structure the aforementioned information, which allow us to develop an equivalent function to a data mart in an Intelligence Business system.
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