Application of Recurrent Neuron Networks in Prognostic Assessment of Medical Monitoring Data from Participants in the Sirius-21 Isolation Study Full article
| Journal |
Human Physiology
ISSN: 1608-3164 , E-ISSN: 0362-1197 |
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| Output data | Year: 2024, Volume: 50, Number: 7, Pages: 826-830 Pages count : 5 DOI: 10.1134/S0362119725700161 | ||
| Tags | isolation study, simulation, space mission, check-up, recurrent neural network | ||
| Authors |
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| Affiliations |
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Funding (1)
| 1 | Ministry of Science and Higher Education of Russia | 65.1 |
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 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
Cite:
Perevedentsev O.V.
, Orlov O.I.
, Chernogorov R.V.
Application of Recurrent Neuron Networks in Prognostic Assessment of Medical Monitoring Data from Participants in the Sirius-21 Isolation Study
Human Physiology. 2024. Т.50. №7. С.826-830. DOI: 10.1134/S0362119725700161
Application of Recurrent Neuron Networks in Prognostic Assessment of Medical Monitoring Data from Participants in the Sirius-21 Isolation Study
Human Physiology. 2024. Т.50. №7. С.826-830. DOI: 10.1134/S0362119725700161
Dates:
| Accepted: | Apr 9, 2025 |
| Published print: | May 12, 2025 |
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