Fuzzy Modeling for Vitamin B12 Deficiency-Reference-Cited by-同舟云学术

Fuzzy Modeling for Vitamin B12 Deficiency

Published:2016 Issue: Volume: Page:462-471
ISSN:1865-0929
Container-title:Information Processing and Management of Uncertainty in Knowledge-Based Systems
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Author:

Wilbik Anna,van Loon Saskia,Boer Arjen-Kars,Kaymak Uzay,Scharnhorst Volkher

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-40596-4_39

Reference11 articles.

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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)

3. Jang, J.S.R.: ANFIS: adaptive-network-based fuzzy inference system. IEEE Trans. Syst. Man Cybern. 3(23), 665–685 (1993)

4. Jang, J.S.R., Sun, C.T., Mizutani, E.: Neuro-Fuzzy and Soft Computing. Prentice Hall, Englewood Cliffs (1997)

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)

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1. Improved testing for vitamin B12 deficiency: correcting MMA for eGFR reduces the number of patients classified as vitamin B12 deficient;Annals of Clinical Biochemistry: International Journal of Laboratory Medicine;2018-06-06

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