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Modelling Uncertainty in Health Care Systems

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Brain Informatics and Health (BIH 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9250))

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Abstract

Computer science research has seen a paradigm change in respect of it’s attitude to uncertainty. The traditional view is that science strives for certainty in all its manifestations the developing view considers uncertainty to be a potentially important aspect which, far from being a negative influence, may provide significant utility. We consider uncertainty, introduce fuzzy set theory, and discuss health care systems which are characterized by uncertainty. Fuzzy set theory has provided a basis upon which uncertainty may be addressed and we conclude that fuzzy set theory provides significant research potential for decision-support systems in the medical domain.

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References

  1. Atanassov, K.T.: Intuitionistic fuzzy sets. Fuzzy sets and Systems 20(1), 87–96 (1986)

    Article  MATH  MathSciNet  Google Scholar 

  2. Cuong, B.C., Kreinovich, V.: Picture fuzzy sets-a new concept for computational intelligence problems. In: Proceedings of the Third World Congress on Information and Communication Technologies (WICT 2013), pp. 1–6 (December 2013)

    Google Scholar 

  3. Curé, O., Lamolle, M., Duc, C.L.: Ontology based data integration over document and column family oriented nosql. arXiv preprint arXiv:1307, 2603 (2013)

    Google Scholar 

  4. Gower, J.C.: Euclidean distance geometry. Mathematical Scientist 7(1), 1–14 (1982)

    MATH  MathSciNet  Google Scholar 

  5. Klir, G., Yuan, B.: Fuzzy sets and fuzzy logic: theory and applications, vol. 4. Prentice Hall, New Jersey (1995)

    MATH  Google Scholar 

  6. Molodtsov, D.: Soft set theory–first results. Computers & Mathematics with Applications 37(4), 19–31 (1999)

    Article  MATH  MathSciNet  Google Scholar 

  7. Moore, P., Hu, B., Zhu, X., Campbell, W., Ratcliffe, M.: A survey of context modelling for pervasive cooperative learning. In: IEEE Proceedings of the First International Symposium on Information Technologies and Applications in Education (ISITAE 2007), pp. K5-1–K5-6. IEEE (November 2007)

    Google Scholar 

  8. Moore, P., Qassem, T., Xhafa, F.: Nosql and electronic patient records: Opportunities and challenges. In: Proc of the 9th International Conference on P2P, Parallel, Grid, Cloud, and Internet Computing (3PGCIC 2014), Track 13: e-Health Technologies for Patient Monitoring (ETPM). IEEE (2014)

    Google Scholar 

  9. Moore, P., Pham, H.V.: Personalization and rule strategies in human-centric data intensive intelligent context-aware systems. The Knowledge Engineering Review 30(2), 1–16 (2015)

    Article  Google Scholar 

  10. Zadeh, L.A.: Fuzzy sets. Information and control 8(3), 338–353 (1965)

    Article  MATH  MathSciNet  Google Scholar 

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Author information

Authors and Affiliations

  1. Shandong Normal University, Jinan, Shandong, China

    Philip Moore & Hong Liu

Authors
  1. Philip Moore
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  2. Hong Liu
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Corresponding author

Correspondence to Philip Moore .

Editor information

Editors and Affiliations

  1. Imperial College London , Data Science Institute, London, United Kingdom

    Yike Guo

  2. Institute of Cognitive Neuroscience, University College London, London, United Kingdom

    Karl Friston

  3. Imperial College London, London, United Kingdom

    Faisal Aldo

  4. Campus Biotech, École Polytechnique Fédérale de Lausanne, Geneva, Switzerland

    Sean Hill

  5. Allen Institute for Brain Science, Seattle, USA

    Hanchuan Peng

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© 2015 Springer International Publishing Switzerland

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Moore, P., Liu, H. (2015). Modelling Uncertainty in Health Care Systems. In: Guo, Y., Friston, K., Aldo, F., Hill, S., Peng, H. (eds) Brain Informatics and Health. BIH 2015. Lecture Notes in Computer Science(), vol 9250. Springer, Cham. https://doi.org/10.1007/978-3-319-23344-4_40

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  • DOI: https://doi.org/10.1007/978-3-319-23344-4_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23343-7

  • Online ISBN: 978-3-319-23344-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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