Diagnosis of Chronic Kidney Disease Based on Support Vector Machine by Feature Selection Methods-Reference-Cited by-同舟云学术

Diagnosis of Chronic Kidney Disease Based on Support Vector Machine by Feature Selection Methods

Published:2017-02-27 Issue:4 Volume:41 Page:
ISSN:0148-5598
Container-title:Journal of Medical Systems
language:en
Short-container-title:J Med Syst

Author:

Polat Huseyin,Danaei Mehr Homay,Cetin Aydin

Publisher

Springer Science and Business Media LLC

Subject

Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)

Link

http://link.springer.com/content/pdf/10.1007/s10916-017-0703-x.pdf

Reference49 articles.

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3. Kathuria, P., and Wedro, B., Chronic kidney disease quick overview. IOP Publishing emedicinehealth, 2016 http://www.emedicinehealth.com/chronic_kidney_disease/page2_em.htm#chronic_kidney_disease_quick_overview . Accessed 23 Feb 2016.

4. Huang, M.-J., Chen, M.-Y., and Lee, S.-C., Integrating data mining with case-based reasoning for chronic diseases prognosis and diagnosis. Expert Syst. Appl. 32:856–867, 2007. doi: 10.1016/j.eswa.2006.01.038 .

5. José, N., Rosário Martins, M., Vilhena, J., Neves, J., Gomes, S., Abelha, A., Machado, J., and Vicente, H., A soft computing approach to kidney diseases evaluation. J. Med. Syst. 39:131, 2015. doi: 10.1007/s10916-015-0313-4 .

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