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A Tool for Biomedical – Documents Classification Using Support Vector Machines

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Computational Intelligence and Decision Making

Part of the book series: Intelligent Systems, Control and Automation: Science and Engineering ((ISCA,volume 61))

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Abstract

This paper presents a web tool for text mining of biomedical literature using clustering and support vector machines. The study is specific to the domain of Peptidases, based on curated literature. It has been evaluated the use of ontologies in the text mining and feature selection process, and the preliminary results show that the classifier performance may be improved along with a reduction of the number of features.

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Acknowledgments

This work was supported by FCT (Foundation for Science and Technology) and FEDER through Program COMPETE (QREN) executed under the project FCOMP-01-0124-FEDER-010160 (PTDC/EIA/71770/2006), designated BIOINK - Incremental Kernel Learning for Biological Data Analysis. The platform used services from third parties to whom we thank and reference.

Author information

Authors and Affiliations

  1. ISEC – Coimbra Institute of Engineering, Coimbra, Portugal

    João Oliveira, Daniel Correia & Carlos Pereira

  2. CISUC – Center for Informatics and Systems of University of Coimbra, Coimbra, Portugal

    Carlos Pereira & António Dourado

  3. Department of Biochemistry and Center of Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal

    Paula Veríssimo

Authors
  1. João Oliveira
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  2. Daniel Correia
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  3. Carlos Pereira
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  4. Paula Veríssimo
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  5. António Dourado
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Corresponding author

Correspondence to João Oliveira .

Editor information

Editors and Affiliations

  1. Computer Science Department, Polytechnique Institute of Porto, Rua Dr. Bernardino de Almeida 431, Porto, 4200-072, Portugal

    Ana Madureira

  2. Electrical and Engineering Department, Polytechnique Institute of Porto, Rua Dr. Bernardino de Almeida 431, Porto, 4200-072, Portugal

    Cecilia Reis

  3. , Department of Computer Science and Syste, Polytechnique Institute of Coimbra, Rua Pedro Nunes - Quinta da Nora, Coimbra, 3030-199, Portugal

    Viriato Marques

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Oliveira, J., Correia, D., Pereira, C., Veríssimo, P., Dourado, A. (2013). A Tool for Biomedical – Documents Classification Using Support Vector Machines. In: Madureira, A., Reis, C., Marques, V. (eds) Computational Intelligence and Decision Making. Intelligent Systems, Control and Automation: Science and Engineering, vol 61. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4722-7_38

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  • DOI: https://doi.org/10.1007/978-94-007-4722-7_38

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-4721-0

  • Online ISBN: 978-94-007-4722-7

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