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An Investigation of Machine Learning and Neural Computation Paradigms in the Design of Clinical Decision Support Systems (CDSSs)

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Advances in Brain Inspired Cognitive Systems (BICS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10023))

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Abstract

This paper reviews the state of the art techniques for designing next generation CDSSs. CDSS can aid physicians and radiologists to better analyse and treat patients by combining their respective clinical expertise with complementary capabilities of the computers. CDSSs comprise many techniques from inter-desciplinary fields of medical image acquisition, image processing and pattern recognition, neural perception and pattern classifiers for medical data organization, and finally, analysis and optimization to enhance overall system performance. This paper discusses some of the current challenges in designing an efficient CDSS as well as some of the latest techniques that have been proposed to meet these challenges, primarily, by finding informative patterns in the medical dataset, analysing them and building a descriptive model of the object of interest, thus aiding in enhanced medical diagnosis.

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Acknowledgments

Professor A. Hussain was supported by the UK Engineering and Physical Sciences Research Council (EPSRC) grant no. EP/M026981/1, and the Digital Health & Care Institute (DHI) funded Exploratory project: PD2A. The authors are grateful to the anonymous reviewers for their insightful comments and suggestions, which helped improve the quality of this paper.

Author information

Authors and Affiliations

  1. Computing Science and Mathematics, School of Natural Sciences, University of Stirling, Stirling, UK

    Summrina K. Wajid & Amir Hussain

  2. School of Computing Science and Technology, Anhui University, Hefei, China

    Amir Hussain & Bin Luo

  3. Xi’an Jiaotong-Liverpool University, Suzhou, China

    Kaizhu Huang

Authors
  1. Summrina K. Wajid
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  2. Amir Hussain
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  3. Bin Luo
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  4. Kaizhu Huang
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Corresponding author

Correspondence to Summrina K. Wajid .

Editor information

Editors and Affiliations

  1. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Cheng-Lin Liu

  2. Computing Science and Mathematics, University of Stirling, Stirling, United Kingdom

    Amir Hussain

  3. Anhui University, Anhui, China

    Bin Luo

  4. National University of Singapore, Singapore, Singapore

    Kay Chen Tan

  5. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Yi Zeng

  6. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Zhaoxiang Zhang

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Wajid, S.K., Hussain, A., Luo, B., Huang, K. (2016). An Investigation of Machine Learning and Neural Computation Paradigms in the Design of Clinical Decision Support Systems (CDSSs). In: Liu, CL., Hussain, A., Luo, B., Tan, K., Zeng, Y., Zhang, Z. (eds) Advances in Brain Inspired Cognitive Systems. BICS 2016. Lecture Notes in Computer Science(), vol 10023. Springer, Cham. https://doi.org/10.1007/978-3-319-49685-6_6

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  • DOI: https://doi.org/10.1007/978-3-319-49685-6_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49684-9

  • Online ISBN: 978-3-319-49685-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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