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DMCS: Dual-Model Classification System and Its Application in Medicine

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AI 2009: Advances in Artificial Intelligence (AI 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5866))

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Abstract

The paper introduces a novel dual-model classification method – Dual-Model Classification System (DMCS). The DMCS is a personalized or transductive system which is created for every new input vector and trained on a small number of data. These data are selected from the whole training data set and they are closest to the new vector in the input space. In the proposed DMCS, two transductive fuzzy inference models are taken as the structure functions and trained with different sub-training data sets. In this paper, DMCS is illustrated on a case study: a real medical decision support problem of estimating the survival of hemodialysis patients. This personalized modeling method can also be applied to solve other classification problems.

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Author information

Authors and Affiliations

  1. Medical Informatics Technology Development & Research Centre, Jiamusi, Heilongjiang, China

    Qun Song, Ruihua Weng & Fengyu Weng

Authors
  1. Qun Song
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  2. Ruihua Weng
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  3. Fengyu Weng
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Editor information

Editors and Affiliations

  1. Clayton School of Information Technology, Monash University, 3800, Clayton, VIC, Australia

    Ann Nicholson

  2. School of Computer Science and Information Technology, RMIT University, 3001, Melbourne, VIC, Australia

    Xiaodong Li

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© 2009 Springer-Verlag Berlin Heidelberg

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Song, Q., Weng, R., Weng, F. (2009). DMCS: Dual-Model Classification System and Its Application in Medicine. In: Nicholson, A., Li, X. (eds) AI 2009: Advances in Artificial Intelligence. AI 2009. Lecture Notes in Computer Science(), vol 5866. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10439-8_33

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  • DOI: https://doi.org/10.1007/978-3-642-10439-8_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10438-1

  • Online ISBN: 978-3-642-10439-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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