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Logic Programming and Artificial Neural Networks in Breast Cancer Detection

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Advances in Computational Intelligence (IWANN 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9095))

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Abstract

About 90% of breast cancers do not cause or are capable of producing death if detected at an early stage and treated properly. Indeed, it is still not known a specific cause for the illness. It may be not only a beginning, but also a set of associations that will determine the onset of the disease. Undeniably, there are some factors that seem to be associated with the boosted risk of the malady. Pondering the present study, different breast cancer risk assessment models where considered. It is our intention to develop a hybrid decision support system under a formal framework based on Logic Programming for knowledge representation and reasoning, complemented with an approach to computing centered on Artificial Neural Networks, to evaluate the risk of developing breast cancer and the respective Degree-of-Confidence that one has on such a happening.

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Author information

Authors and Affiliations

  1. Algoritmi, Universidade Do Minho, Braga, Portugal

    José Neves, José Machado & Paulo Novais

  2. Departamento de Informática, Universidade Do Minho, Braga, Portugal

    Tiago Guimarães & Sabino Gomes

  3. Departamento de Química, Centro de Química de Évora, Escola de Ciências E Tecnologia, Universidade de Évora, Évora, Portugal

    Henrique Vicente

  4. Escola de Ciências Da Saúde, Universidade Do Minho, Braga, Portugal

    Mariana Santos

  5. DRS. NICOLAS&ASP, Dubai, United Arab Emirates

    João Neves

Authors
  1. José Neves
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  2. Tiago Guimarães
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  3. Sabino Gomes
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  4. Henrique Vicente
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  5. Mariana Santos
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  6. João Neves
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  7. José Machado
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  8. Paulo Novais
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Corresponding author

Correspondence to José Neves .

Editor information

Editors and Affiliations

  1. University of Granada, Granada, Spain

    Ignacio Rojas

  2. Department of Electronics Technology, University of Malaga, Malaga, Spain

    Gonzalo Joya

  3. Polytechnic University of Catalonia, Vilanova i la Geltrú, Spain

    Andreu Catala

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Neves, J. et al. (2015). Logic Programming and Artificial Neural Networks in Breast Cancer Detection. In: Rojas, I., Joya, G., Catala, A. (eds) Advances in Computational Intelligence. IWANN 2015. Lecture Notes in Computer Science(), vol 9095. Springer, Cham. https://doi.org/10.1007/978-3-319-19222-2_18

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  • DOI: https://doi.org/10.1007/978-3-319-19222-2_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19221-5

  • Online ISBN: 978-3-319-19222-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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