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

Sabina Rakhmetulayeva | Zendy; K.S. Duisebekova | Zendy; A.M. Mamyrbekov | Zendy; Dinara Kozhamzharova | Zendy; Gulnar Astaubayeva | Zendy; K. Stamkulova | Zendy

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

Author(s) -

Sabina Rakhmetulayeva,

K.S. Duisebekova,

A.M. Mamyrbekov,

Dinara Kozhamzharova,

Gulnar Astaubayeva,

K. Stamkulova

Publication year - 2018

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2018.04.034

Subject(s) - computer science , support vector machine , intuition , algorithm , machine learning , process (computing) , artificial intelligence , tuberculosis , data mining , medicine , philosophy , epistemology , pathology , operating system

In this paper the algorithm based on SVM (Support Vector Machines) for determining of effectiveness of test drug is proposed. The most time-consuming tasks of medicine include diagnosing and choosing a course of treatment. Traditionally, doctors have solved these problems, relying only on their own intuition and experience. Today in their arsenal are increasingly included methods based on high technology and allowing to process large flows of information. Mathematical description and formulation of the problem are given. The results of experiments based on the algorithm are presented. The main goal of the paper is to create prerequisites for preventive diagnosis of tuberculosis patients. Using the proposed model and monitoring system, specialists can correctly diagnose and develop an optimal treatment course.

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