Adaptive model for decision making

摘要

Learning of an adaptive model in terms of the creation of n-dimensional bodies is presented. N-dimensional bodies are used to partition the space Rn of measurable pattern parameters in order to separate patterns of one answer, e.g. class or type of disease, from those of other ones.The model, when applied medically in the prognosis of acute pancreatitis and in the diagnosis of disseminated cancer of unknown origin, showed good results.