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A Decision Making System Based on Complementary Learning

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Handbook on Decision Making

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 4))

Abstract

Medical decision making is often linked to survival and wellbeing of patients. As such, it is paramount for clinical decision support system to not only provides human-understandable explanation, but also human-relatable reasoning. A human decision making model Complementary Decision Making System (CDMS) is proposed. CDMS is based on complementary learning that functionally models the lateral inhibition and segregation mechanisms observed in the human decision making in prefrontal and parietal lobes. As such, CDMS has a human-like process of decision making. A mapping of hypothetico-deductive reasoning further equip CDMS with a decision making flow that is akin to physicians. CDMS was subsequently applied in diagnosis and it demonstrated its potential as a clinical decision support system.

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Author information

Authors and Affiliations

  1. Cancer Science Institute of Singapore, National University of Singapore, Centre for Life Science, 402-07, 28 Medical Drives, Singapore, 117456

    Tuan Zea Tan

  2. School of Engineering (Electronics), Nanyang Polytechnic, 180 Ang Mo Kio Avenue 8, Singapore, 569830

    Geok See Ng

  3. Centre for Computational Intelligence, Nanyang Technological University, N4-02a-32 Nanyang Avenue, Singapore, 639798

    Chai Quek

Authors
  1. Tuan Zea Tan
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  2. Geok See Ng
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  3. Chai Quek
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Editor information

Editors and Affiliations

  1. University of South Australia, Adelaide, Australia

    Lakhmi C. Jain

  2. University of Science Malaysia, Malaysia

    Chee Peng Lim

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© 2010 Springer-Verlag Berlin Heidelberg

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Tan, T.Z., Ng, G.S., Quek, C. (2010). A Decision Making System Based on Complementary Learning. In: Jain, L.C., Lim, C.P. (eds) Handbook on Decision Making. Intelligent Systems Reference Library, vol 4. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13639-9_7

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  • DOI: https://doi.org/10.1007/978-3-642-13639-9_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13638-2

  • Online ISBN: 978-3-642-13639-9

  • eBook Packages: EngineeringEngineering (R0)

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