HYBRID DECISIVE SYSTEMS FOR FORECASTING OF POSTOPERATIVE SEQUELAE AT PATIENTS WITH BENIGN GYPERPLAZIA OF THE PROSTATE GLAND
The structure of the hybrid neural network intended for classification of risks of postoperative sequelae at surgical treatment of patients from a benign gyperplazia prostate gland is considered. The space of signs for the neuronetwork qualifier of risk is created. Algorithms of formation of its separate blocks and ways of their integration into uniform structure are described. Pilot researches of the offered hybrid decisive system are conducted.