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

Abstract

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.