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A Framework for Analyzing Uncertainty in Data Using Computational Intelligence Techniques

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Intelligent Decision Support Systems for Sustainable Computing

Part of the book series: Studies in Computational Intelligence ((SCI,volume 705))

Abstract

In this study, use of soft computing techniques for analyzing medical data is presented. A medical dataset usually contains objects/records of patients that include a set of symptoms that a patient experiences. Analysis of such medical data could reveal new insights that would definitely help in efficient diagnosis and also in drug discovery. A novel fuzzy-rough based classification approach is described and its performance is evaluated using a medical dataset having multiclass values for response variable. Novel approaches for data preprocessing using fuzzy-rough concepts are introduced for attaining complete and consistent data. Thus, automated medical diagnosis can be done efficiently by using computational intelligence (CI) techniques for the benefit of mankind to live a healthy long life.

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Authors and Affiliations

  1. Computer Science and System Engineering, Andhra University College of Engineering, Visakhapatnam, India

    M. Sujatha, G. Lavanya Devi & N. Naresh

Authors
  1. M. Sujatha
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  2. G. Lavanya Devi
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  3. N. Naresh
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Corresponding author

Correspondence to G. Lavanya Devi .

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Editors and Affiliations

  1. VIT University , Vellore, Tamil Nadu, India

    Arun Kumar Sangaiah

  2. Sci N/w for Innova and Research Exc, Machine Intelligence Research Labs Sci N/w for Innova and Research Exc, Auburn, Washington, USA

    Ajith Abraham

  3. Faculté des Sciences et Technologie, Université Paris-Est Créteil Val-de-Marn Faculté des Sciences et Technologie, Créteil Cedex, France

    Patrick Siarry

  4. Faculty of Engig Computer & Math sci, The University of Adelaide Faculty of Engig Computer & Math sci, Adelaide, South Australia, Australia

    Michael Sheng

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Sujatha, M., Lavanya Devi, G., Naresh, N. (2017). A Framework for Analyzing Uncertainty in Data Using Computational Intelligence Techniques. In: Sangaiah, A., Abraham, A., Siarry, P., Sheng, M. (eds) Intelligent Decision Support Systems for Sustainable Computing. Studies in Computational Intelligence, vol 705. Springer, Cham. https://doi.org/10.1007/978-3-319-53153-3_14

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  • DOI: https://doi.org/10.1007/978-3-319-53153-3_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-53152-6

  • Online ISBN: 978-3-319-53153-3

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