The evaluation of functional heart condition with machine learning algorithms

International Conference on Innovations in Non-Destructive Testing (SibTest)

Overchuk, K.V.^1 ; Lezhnina, I.A.^1 ; Uvarov, A.A.^1 ; Perchatkin, V.A.^2 ; Lvova, A.B.^3

Institute of Non-Destructive Testing, Tomsk Polytechnic University, Tomsk, Russia^1

Manager of Rehabilitation Department Cardiology Research Institute, Tomsk National Research Medical Center, Tomsk, Russia^2

Department Cardiology Research Institute, Tomsk National Research Medical Center, Tomsk, Russia^3

关键词: Optimal solutions;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/881/1/012009/pdf
DOI  :  10.1088/1742-6596/881/1/012009

来源: IOP

【 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.