title: User Oriented Platform for Data Analytics in Medical Imaging Repositories.
abstract: The production of medical imaging studies and associated data has been growing in the last decades. Their primary use is to support medical diagnosis and treatment processes. However, the secondary use of the tremendous amount of stored data is generally more limited. Nowadays, medical imaging repositories have turned into rich databanks holding not only the images themselves, but also a wide range of metadata related to the medical practice. Exploring these repositories through data analysis and business intelligence techniques has the potential of increasing the efficiency and quality of the medical practice. Nevertheless, the continuous production of tremendous amounts of data makes their analysis difficult by conventional approaches. This article proposes a novel automated methodology to derive knowledge from medical imaging repositories that does not disrupt the regular medical practice. Our method is able to apply statistical analysis and business intelligence techniques directly on top of live institutional repositories. It is a Web-based solution that provides extensive dashboard capabilities, including complete charting and reporting options, combined with data mining components. Moreover, it enables the operator to set a wide multitude of query parameters and operators through the use of an intuitive graphical interface.
authors: DETI/IEETA, University of Aveiro, Portugal.
authors: Miguel
authors: M
authors: Valerio
authors: DETI/IEETA, University of Aveiro, Portugal.
authors: Tiago Marques
authors: TM
authors: Godinho
authors: DETI/IEETA, University of Aveiro, Portugal.
authors: Carlos
authors: C
authors: Costa
mesh_terms: D057225:Data Mining; D016208:Databases, Factual; D003952:Diagnostic Imaging; D006801:Humans; D020407:Internet; D014584:User-Computer Interface