On the Development of Intellectual Components of a Decision Support System for Medical Care in Manned Space Exploration Missions

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.