The invention relates to a method for determining competing risks for objects after an initial event based on already measured or otherwise objectifiable training data sets, in which a number of signals obtained from an adaptive system are combined in an objective function in such a manner that the adaptive system can identify or predict the underlying probabilities of the respective competing risks.
