On the Development of Intellectual Components of a Decision Support System for Medical Care in Manned Space Exploration Missions


Citar

Texto integral

Acesso aberto Acesso aberto
Acesso é fechado Acesso está concedido
Acesso é fechado Somente assinantes

Resumo

The paper is dedicated to analysis of artificial neuron network efficiency in processing the data of remote medical monitoring of participants in the Sirius-17 analog study conducted by the Institute of Biomedical Problems in 2017. The authors propose an ingenious data processing algorithm involving a self-learning multilayer artificial neuron network (ANN) capable of predicting health dynamics with the help of an integrated index of subjective health assessment.

Sobre autores

O. Perevedentsev

State Scientific Center of the Russian Federation—Institute of Biomedical Problems, Russian Academy of Sciences

Autor responsável pela correspondência
Email: perevol@imbp.ru
Rússia, Moscow, 123007

O. Orlov

State Scientific Center of the Russian Federation—Institute of Biomedical Problems, Russian Academy of Sciences

Email: perevol@imbp.ru
Rússia, Moscow, 123007

V. Levanov

State Scientific Center of the Russian Federation—Institute of Biomedical Problems, Russian Academy of Sciences

Email: perevol@imbp.ru
Rússia, Moscow, 123007

Arquivos suplementares

Arquivos suplementares
Ação
1. JATS XML

Declaração de direitos autorais © Pleiades Publishing, Inc., 2019