Abstract
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.