Abstract
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.
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