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Fuzzy Modeling for Vitamin B12 Deficiency

  • Anna WilbikEmail author
  • Saskia van Loon
  • Arjen-Kars Boer
  • Uzay Kaymak
  • Volkher Scharnhorst
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 610)

Abstract

Blood vitamin B12 levels are not representative for actual vitamin B12 status in tissue. Instead plasma methylmalonic acid (MMA) levels can be measured because MMA concentrations increase relatively early in the course of vitamin B12 deficiency. However, MMA levels in plasma may also be increased due to renal failure. In this paper we estimate the influence of the kidney function on MMA levels in plasma by using fuzzy inference systems. Using this method diagnosing vitamin B12 deficiencies could be improved when kidney failure is present.

Keywords

Vitamin B12 deficiency Kidney function Takagi-Sugono fuzzy inference system 

Notes

Acknowledgements

This work is partially supported by TU/e Data Science Flagship.

References

  1. 1.
    Havens, T., Bezdek, J.: An efficient formulation of the improved visual assessment of cluster tendency (iVAT) algorithm. IEEE Trans. Knowl. Data Eng. 24(5), 813–822 (2012)CrossRefGoogle Scholar
  2. 2.
    Iqbal, N., Azar, D., Yun, Y.M., Ghausi, O., Ix, J., Fitzgerald, R.L.: Serum methylmalonic acid and holotranscobalamin-ii as markers for vitamin B12 deficiency in end-stage renal disease patients. Ann. Clin. Lab. Sci. 3(43), 243–249 (2013)Google Scholar
  3. 3.
    Jang, J.S.R.: ANFIS: adaptive-network-based fuzzy inference system. IEEE Trans. Syst. Man Cybern. 3(23), 665–685 (1993)CrossRefGoogle Scholar
  4. 4.
    Jang, J.S.R., Sun, C.T., Mizutani, E.: Neuro-Fuzzy and Soft Computing. Prentice Hall, Englewood Cliffs (1997)Google Scholar
  5. 5.
    Klee, G.G.: Cobalamin and folate evaluation: Measurement of methylmalonic acid and homocysteine vs vitamin B12 and folate. Clin. Chem. 8(46), 1277–1283 (2000)Google Scholar
  6. 6.
    MathWorks: Afis function documentation. http://nl.mathworks.com/help/fuzzy/anfis.html
  7. 7.
    Moelby, L., Rasmussen, K., Ring, T., Nielsen, G.: Relationship between methylmalonic acid and cobalamin in uremia. Kidney Int. 1(57), 265–273 (2000)CrossRefGoogle Scholar
  8. 8.
    Popescu, M., Bezdek, J., Havens, T., Keller, J.: A cluster validity framework based on induced partition dissimilarity. IEEE Trans. Cybern. 43(1), 308–320 (2013)CrossRefGoogle Scholar
  9. 9.
    Smelt, H., Smulders, J., Said, M., Nienhuijs, S., Boer, A.: Improving bariatric patient aftercare outcome by improved detection of a functional vitamin B12 deficiency. Obes. Surg. 11, 1–5 (2015). doi: 10.1007/s11695-015-1952-8 CrossRefGoogle Scholar
  10. 10.
    Sousa, J.M.C., Kaymak, U.: Fuzzy Decision Making in Modeling and Control, World Scientific Series in Robotics and Intelligent Systems, vol. 27. World Scientific (2002)Google Scholar
  11. 11.
    Wiersinga, W., de Rooij, S., Huijmans, J., Fischer, J., Hoekstra, J.: De diagnostiek van vitamine-B12-deficintie herzien. Ned. Tijdschr. Geneeskd. 149, 2789–2794 (2005)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Anna Wilbik
    • 1
    Email author
  • Saskia van Loon
    • 2
  • Arjen-Kars Boer
    • 2
  • Uzay Kaymak
    • 1
  • Volkher Scharnhorst
    • 2
    • 3
  1. 1.Information Systems, School of Industrial EngineeringEindhoven University of TechnologyEindhovenThe Netherlands
  2. 2.Catharina Hospital, Clinical ChemistryEindhovenThe Netherlands
  3. 3.Department of Biomedical EngineeringEindhoven University of TechnologyEindhovenThe Netherlands

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