Skip to main content
SpringerLink
Log in

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

  • Conference paper
Biomedical Engineering Systems and Technologies (BIOSTEC 2009)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 52))

  • 1164 Accesses

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.

This work has been partially supported by “Centro para el desarrollo tecnológico industrial (CDTI) del Ministerio de Industria” ref. Neotec RD 1406/1986 (IDI “20070178”, title “Plataforma de diagnóstico genético de Cardiopatías”) and by “Xunta de Galicia” ref. 08SIN008E. Other institutions collaborating in the support of the researchers are “Ministerio de Educación y Ciencia” (PGE y FEDER) ref. TIN2006-15071-C03-03 and “Xunta de Galicia” ref. 2006/4.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Hollingsworth, D.: Workflow management coalition - the workflow reference model. Technical report, Workflow Management Coalition (1995)

    Google Scholar 

  2. van der Aalst, W., van Hee, K.: Workflow management: Models, methods, and systems (2002)

    Google Scholar 

  3. Fischer, L.: Workflow handbook 2003. Future Strategies Inc., USA (2003)

    Google Scholar 

  4. Gamma, E., Helm, R., Johnson, R., Vlissides, J.: Design Patterns: Elments of Reusable Object-oriented Sofware. Addison-Wesley, Reading (1996)

    Google Scholar 

  5. Grand, M.: Patterns in Java, vol. 1. John Wiley & Sons, Chichester (1998)

    Google Scholar 

  6. Alur, D., Crupi, J., Malks, D.: Core J2EE Patterns. Prentice-Hall, Englewood Cliffs (2003)

    Google Scholar 

  7. Perrone, P.J., Chaganti, K.: J2EE Developer’s Handbook. Sam’s Publishing (2003)

    Google Scholar 

  8. Bodoff, S.: The J2EE Tutorial. Addison-Wesley, Reading (2004)

    Google Scholar 

  9. Holmes, J.: Struts: The Complete Reference, 2nd edn. McGraw-Hill Osborne Media, New York (2006)

    Google Scholar 

  10. Shafer, D.: HTML Utopia: Designing Without Tables Using CSS. Sitepoint Pty Ltd. (2003)

    Google Scholar 

  11. Flanagan, D.: JavaScript: The Definitive Guide, 5th edn. O’Reilly, Sebastopol (2006)

    Google Scholar 

  12. W3C Recommendation: Extensible stylesheet language (XSL) version 1.1. Technical report, W3C (2006)

    Google Scholar 

  13. Apache FOP (October 2007), http://xmlgraphics.apache.org/fop/

  14. Shneiderman, B.: Designing The user interface, Strategies for effective Human-computer interaction. Addison-Wesley, Reading (1998)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Health in Code, Ed. El Fortín, Hospital Marítimo de Oza, As Xubias, s/n, A Coruña, Spain

    Lorenzo Montserrat

  2. Databases Laboratory, University of A Coruña, Campus de Elviña, 15071, A Coruña, Spain

    Jose Antonio Cotelo-Lema, Miguel R. Luaces & Diego Seco

Authors
  1. Lorenzo Montserrat
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jose Antonio Cotelo-Lema
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Miguel R. Luaces
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Diego Seco
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Instituto de Telecomunicaçöes, IST - Instituto Superior Técnico, Av. Rovisco Pais, 1, 1049-001, Portugal, Lisbon

    Ana Fred

  2. Departament of Systems and Informatics, Polytechnic Institute of Setúbal – INSTICC, Rua do Vale de Chaves - Estefanilha, 2910-761, Setúbal, Portugal

    Joaquim Filipe

  3. Institute of Telecommunications, Av. Rovisco Pais, 1, 1049-001, Lisboa, Portugal

    Hugo Gamboa

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Montserrat, L., Cotelo-Lema, J.A., Luaces, M.R., Seco, D. (2010). Collecting, Analyzing, and Publishing Massive Data about the Hypertrophic Cardiomyopathy. In: Fred, A., Filipe, J., Gamboa, H. (eds) Biomedical Engineering Systems and Technologies. BIOSTEC 2009. Communications in Computer and Information Science, vol 52. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11721-3_23

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-11721-3_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-11720-6

  • Online ISBN: 978-3-642-11721-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation