A method and apparatus are disclosed for modeling a system to estimate values and associated uncertainties for a first set of variables describing the system. A second set of system variables is selected, where the second set is directly or indirectly causally related to the first set of variables. Data is obtained or estimated for each variable in the second set and the quality of selected data is appraised. A network is formed with nodes including both sets of variables and the quality appraisals, having directional links connecting interdependent nodes, the directional links honoring known causality relationships. A Bayesian Network algorithm is used with the data and quality information to solve the network for the first set of variables and their associated uncertainties.

 
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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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