So far, the fact that statistically significance differences between samples (sets of parameters of the body xi) before the treatment and after the treatment led to the conclusion of non effective treatment. However, in the framework of the theory of chaos and self-organization the assessment of the significant differences can be carried out without going through statistical methods, based on the analysis parameters of quasi-attractors or using neural emulators. In this report the authors present examples of uncertainties of the 1st kind in regenerative medicine and introduce new technologies to resolve these uncertainties. A procedure for finding differences between samples and determining the parameters of the order (the most important diagnostic features) based methods neurocomputing. The effectiveness of this approach in the evaluation of the effectiveness treatment effects of abnormalities in the body during acute stroke in a kinesotherapy is presented. The authors proved ineffective stochastics and opportunities neurocomputing in the task of system synthesis
regenerative medicine, biological system, artificial neural network, quasi-attractor, kinesotherapy
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