Application of Classification Algorithm Based on SVM for Determining the Effectiveness of Treatment of Tuberculosis-Reference-Cited by-同舟云学术

Application of Classification Algorithm Based on SVM for Determining the Effectiveness of Treatment of Tuberculosis

Published:2018 Issue: Volume:130 Page:231-238
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Rakhmetulayeva S.B.,Duisebekova K.S.,Mamyrbekov A.M.,Kozhamzharova D.K.,Astaubayeva G.N.,Stamkulova K.

Publisher

Elsevier BV

Subject

General Engineering

Reference8 articles.

1. “WHO | Global tuberculosis report 2017”. http://www.who.int/tb/publications/global_report/gtbr2017_main_text.pdf.

2. Pandiyan, O. El-Hassan, A. Hassan Khamis, and P. Rajasekaran, “Ontology with SVM based diagnosis of tuberculosis and statistical analysis”. International Journal of Medical and Health Sciences Research, 2016,Vol.3, No.3, pp.37-43, ISSN(e): 2313-2752, ISSN(p): 2313-7746,DOI: 10.18488/journal.9/2016.3.3/9.3.37.43, 2016 Asian Medical Journals. All Rights Reserved.

3. “A new method of automatic recognition for tuberculosis disease diagnosis using support vector machines”;Yahiaoui;Biomedical Research,2017

4. S.Friedhelm, R.Fabio, K.Josef, “Multiple Classifier Systems,” Proceedings of 12th International Workshop, MCS 2015, Günzburg, Germany, June 29 - July 1, 2015.

5. “Chi-squared and Fisher-Irwin tests of two-by-two tables with small sample recommendations”;Campbell;Statistics in Medicine,2007

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