So far, the statistically significant differences between the samples (sets of parameters of the body xi) before and after treatment led to the conclusion that no effective treatment. The paper presents examples of uncertainties 1st kind in regenerative medicine, and always new technology demonstrates the procedure of finding differences between samples and find the parameters of the order (the most important diagnostic features) based on the methods neurocomputing in the absence of statistical differences. The effectiveness of this approach in the evaluation of the effectiveness of the treatment of the effects of dysfunction in the body´s acute stroke in a kinesitherapy and hypertension in terms of physiotherapy. It proved the ineffectiveness of stochastics and opportunities neurocomputing in the task of system synthesis for kinesitherapy and physical therapy for hypertension and stroke.
Regenerative medicine, body, artificial neural network, quasi-attractor, kinesitherapy.
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