循环神经元网络在隔离研究«天狼星-21»参与者医疗监测数据预后评估中的应用

Q4 Biochemistry, Genetics and Molecular Biology

Aviakosmicheskaia i ekologicheskaia meditsina = Aerospace and environmental medicine Pub Date : 2023-01-01 DOI:10.21687/0233-528x-2023-57-2-33-38

O. V. Perevedentsev, О.I. Orlov, R. Chernogorov

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引用次数: 0

摘要

本文分析了在2017年IBMP启动的一系列隔离研究(SIRIUS项目)中应用人工神经网络进行健康评估的可能性。事实上，具有原始结构的递归神经网络(RNNs)提高了预测健康动态的精度。宇航员使用rnn进行每日自我检查可能有助于发现机体的消极趋势并采取预防行动。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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APPLICATION OF RECURRENT NEURON NETWORKS IN PROGNOSTIC ASSESSMENT OF MEDICAL MONITORING DATA FROM PARTICIPANTS IN ISOLATION STUDY «SIRIUS-21»

The paper deals with analysis of the possibility to apply artificial neural networks for health evaluation in the series of isolation studies launched at IBMP in 2017 (SIRIUS project). Indeed, recurrent neural networks (RNNs) with an original architecture increased precision of forecasting health dynamics. Daily self check-ups by spacecrew members with the use of RNNs may help detect negative trends in organism and undertake preventive actions.

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来源期刊

Aviakosmicheskaia i ekologicheskaia meditsina = Aerospace and environmental medicine Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)

CiteScore

0.60

自引率

0.00%

发文量