1. A method of making optimal medical decisions, comprising: (a) collecting a medical evidence about a patient comprising standardized medical facts, (b) providing a model of the evidence linking said medical evidence with a set of probable current states of the disease, (c) providing a model of the progression of the disease linking each of said probable current states of the disease with a set of probable future states of the disease, (d) providing a model of the progression of the disease linking probable current states of the disease with the probable future states of the disease for a plurality of medical decisions, (e) providing a model of costs and benefits associating a set of probable costs and benefits along with their probabilities for each of said probable current states of the disease, and for each of said probable future states of the disease, (f) providing a preference function of costs and benefits outputting a utility value for a combination of costs and benefits approximately reflecting real individual preferences of said combination of costs and benefits, (g) generating an expected utility value by summing the values of said preference function of costs and benefits weighted with probabilities of costs and benefits for each of said medical decisions, (h) selecting a resulting medical decision having the largest expected utility value, whereby said medical decision will be approximately optimal with respect to the expected progression of the disease, and with respect to costs and benefits, and with respect to individual preferences.
1. A method of making optimal medical decisions, comprising: (a) collecting a medical evidence about a patient comprising standardized medical facts, (b) providing a model of the evidence linking said medical evidence with a set of probable current states of the disease, (c) providing a model of the progression of the disease linking each of said probable current states of the disease with a set of probable future states of the disease, (d) providing a model of the progression of the disease linking probable current states of the disease with the probable future states of the disease for a plurality of medical decisions, (e) providing a model of costs and benefits associating a set of probable costs and benefits along with their probabilities for each of said probable current states of the disease, and for each of said probable future states of the disease, (f) providing a preference function of costs and benefits outputting a utility value for a combination of costs and benefits approximately reflecting real individual preferences of said combination of costs and benefits, (g) generating an expected utility value by summing the values of said preference function of costs and benefits weighted with probabilities of costs and benefits for each of said medical decisions, (h) selecting a resulting medical decision having the largest expected utility value, whereby said medical decision will be approximately optimal with respect to the expected progression of the disease, and with respect to costs and benefits, and with respect to individual preferences. 6. The method of making optimal medical decisions of claim 1 , wherein said preference function of costs and benefits is a function of costs, benefits and parameters representing approximate value of the combination of costs and benefits for the patient.