Application of Recurrent Neuron Networks in Prognostic Assessment of Medical Monitoring Data from Participants in the Sirius-21 Isolation Study

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