A method and apparatus that detects a multiplicity of normal data sets, each of which includes values of n parameters, for each of the operation modes of an object having a plurality of operation modes. Self-organizing maps are provided for each operation mode using the normal data sets. Abnormal data sets representing virtual abnormal states are created by modifying the values of the n parameters of each of the multiple normal data sets so that as many abnormal data sets as the number of deviation vectors are created for each of the multiple normal data sets. Abnormal operation mode proportion vectors are then created by selecting a self-organizing map from the above noted self-organizing maps which has the highest similarity degree to each of the abnormal data sets.

 
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> System for graphical illustration of a first possible outcome of a use of a treatment parameter with respect to body portions based on a first dataset associated with a first predictive basis and for modifying a graphical illustration to illustrate a second possible outcome of a use of a treatment parameter based on a second dataset associated with a second predictive basis
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