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Neural Networks Based System for Cancer Diagnosis Support

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Computer Aided Systems Theory – EUROCAST 2011 (EUROCAST 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6927))

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Abstract

The paper presents the analysis of two different approaches for a system to support cancer diagnosis. The first one uses only tumor marker data containig missing values to predict cancer occurrence and the second one also includes standard blood parameters. Both systems are based on several heterogeneous artificial neural networks for estimating missing values of tumor markers and they finally caluculate possibilities of different tumor diseases.

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References

  1. Jacak, W., Pröll, K.: Data Driven Tumor Marker Prediction System. In: EMSS 2010, Fes, Marokko, pp. 1–6 (2010)

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  2. Jacak, W., Pröll, K.: Neural Network Based Tumor Marker Prediction. In: BroadCom 2010, Malaga, Spain, pp. 1–6 (2010)

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  3. Winkler, S.M., et al.: Feature Selection in the Analysis of Tumor Marker Data Using Evoutionary Algorithms. In: EMSS 2010, Fes, Marokko, pp. 1–6 (2010)

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  4. Djavan, et al.: Novel Artificial Neural Network for Early Detection of Prostate Cancer. Journal of Clinical Oncology 20(4), 921–929 (2002)

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  5. Harrison, et al.: ANN models for prediction of acute coronary syndromes using clinical data from the time of presentation. Ann Emerg Med. 46(5), 431–439 (2005)

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Author information

Authors and Affiliations

  1. Dept. of Software Engineering at Hagenberg, Upper Austrian University of Applied Sciences, Softwarepark 11, A 4232, Hagenberg, Austria

    Witold Jacak & Karin Pröll

Authors
  1. Witold Jacak
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  2. Karin Pröll
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Editor information

Editors and Affiliations

  1. Instituto Universitario de Ciencias y Tecnologías Cibernéticas, Universidad de Las Palmas de Gran Canaria, Campus de Tafira, 35017, Las Palmas de Gran Canaria, Spain

    Roberto Moreno-Díaz  & Alexis Quesada-Arencibia  & 

  2. Institute of Systems Science, Johannes Kepler University Linz, Altenbergerstrasse 69, 4040, Linz, Austria

    Franz Pichler

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© 2012 Springer-Verlag Berlin Heidelberg

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Jacak, W., Pröll, K. (2012). Neural Networks Based System for Cancer Diagnosis Support. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2011. EUROCAST 2011. Lecture Notes in Computer Science, vol 6927. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27549-4_44

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  • DOI: https://doi.org/10.1007/978-3-642-27549-4_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27548-7

  • Online ISBN: 978-3-642-27549-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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