13. A method for making optimal medical decisions, comprising: (a) collecting a plurality of medical evidence data, (b) establishing approximate probabilities of a plurality of distinct states of the disease compatible with said medical evidence data, (c) establishing approximate probabilities of a plurality of future distinct states of the disease for a plurality of medical treatments, (d) establishing probabilities of costs and benefits for each of the future distinct states of the disease and probabilities of costs of said medical treatments, (e) establishing a utility function operating over said costs and benefits each combination of costs and benefits, (f) computing an expected utility function over the probabilities of costs and benefits of future states of the disease and over the probabilities of costs of each of said medical treatments, (g) sorting said medical treatments by the value of said expected utility function, (h) selecting the medical treatment corresponding to the top value for said expected utility function, whereby the medical treatment selected in the last step is the optimal medical decision.
13. A method for making optimal medical decisions, comprising: (a) collecting a plurality of medical evidence data, (b) establishing approximate probabilities of a plurality of distinct states of the disease compatible with said medical evidence data, (c) establishing approximate probabilities of a plurality of future distinct states of the disease for a plurality of medical treatments, (d) establishing probabilities of costs and benefits for each of the future distinct states of the disease and probabilities of costs of said medical treatments, (e) establishing a utility function operating over said costs and benefits each combination of costs and benefits, (f) computing an expected utility function over the probabilities of costs and benefits of future states of the disease and over the probabilities of costs of each of said medical treatments, (g) sorting said medical treatments by the value of said expected utility function, (h) selecting the medical treatment corresponding to the top value for said expected utility function, whereby the medical treatment selected in the last step is the optimal medical decision. 16. The method for making optimal medical decisions of claim 13 , wherein the probabilities are represented by a plurality of model distributions which further include uncertainty of said models.