Integrating medical and research information: a big data approach.
Year: 2015
Type: article
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.
Source: PubMed
Authors: Carlos M Tilve Álvarez, Alberto Ayora Pais, Cristina Ruíz Romero, Daniel Llamas Gómez, Lino Carrajo García, Francisco J Blanco García, Guillermo Vázquez González
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2396429609