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Collecting, Analyzing, and Publishing Massive Data about the Hypertrophic Cardiomyopathy

  • Lorenzo Montserrat
  • Jose Antonio Cotelo-Lema
  • Miguel R. Luaces
  • Diego Seco
Part of the Communications in Computer and Information Science book series (CCIS, volume 52)

Abstract

We present in this paper the architecture and some implementation details of a Document Management System and Workflow to help in the diagnosis of the hypertrophic cardiomyopathy, one of the most frequent genetic cardiovascular diseases. The system allows a gradual and collaborative creation of a knowledge base about the mutations associated with this disease. The system manages both the original documents of the scientific papers and the data extracted from these papers by the experts. Furthermore, a semiautomatic report generation module exploits this knowledge base to create high quality reports about the studied mutations.

Keywords

e-Health Document Management System Hypertrophic Cardiomyopathy 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Lorenzo Montserrat
    • 1
  • Jose Antonio Cotelo-Lema
    • 2
  • Miguel R. Luaces
    • 2
  • Diego Seco
    • 2
  1. 1.Health in Code, Ed. El FortínHospital Marítimo de OzaA CoruñaSpain
  2. 2.Databases LaboratoryUniversity of A CoruñaA CoruñaSpain

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