The evaluation of functional heart condition with machine learning algorithms

被引：0
|
作者：
Overchuk, K. V. [1 ]
Lezhnina, I. A. [1 ]
Uvarov, A. A. [1 ]
Perchatkin, V. A. [2 ]
Lvova, A. B. [2 ]
机构：
[1] Tomsk Polytechn Univ, Inst Nondestruct Testing, Tomsk, Russia
[2] Tomsk Natl Res Med Ctr, Cardiol Res Inst, Rehabil Dept, Tomsk, Russia
来源：
INTERNATIONAL CONFERENCE ON INNOVATIONS IN NON-DESTRUCTIVE TESTING (SIBTEST) | 2017年 / 881卷
关键词：
D O I：
10.1088/1742-6596/881/1/012009
中图分类号：
O59 [应用物理学];
学科分类号：
摘要：
This paper is considering the most suitable algorithms to build a classifier for evaluating of the functional heart condition with the ability to estimate the direction and progress of the patient's treatment. The cons and pros of algorithms was analyzed with respect to the problem posed. The most optimal solution has been given and justified.
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页数：5
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