1. A computer-implemented method for providing individualized medical treatment decision support regarding a patient's medical condition, said method comprising: collecting, using a computer, an identification of a particular patient's medical condition; collecting, using a computer, information regarding the particular patient's prognostic indicators; in real-time response to receiving said the particular patient's medical condition and the particular patient's prognostic indicators, dynamically generating, using a computer, a series of interactive conjoint-analysis-based patient preference-assessment exercises according to the particular patient's medical condition and the particular patient's prognostic indicators and further according to statistically-structured, risk-based decision analysis models and mapping trees comprising an indication of medical treatment options available for the patient according to the particular patient's medical condition and the particular patient's prognostic indicators, each patient preference-assessment exercise comprising risk-based medical treatment outcome attributes selected from the group consisting of: at least one medical treatment alternative available for the particular patient according to the particular patient's medical condition and the particular patient's prognostic indicators, at least one medical treatment effect associated with said at least one medical treatment alternative, and at least one medical treatment factor associated with said at least one medical treatment alternative; collecting, using a computer, a particular user's preferences input in response to said series of interactive, conjoint-analysis-based patient preference-assessment exercises; determining, using a computer, conjoint-analysis-based, part-worth utility values for said risk-based medical treatment attributes according to a real-time conjoint analysis of the particular user's preferences; determining from said conjoint-analysis-based, part-worth utility values, using a computer, an expected value for each medical treatment alternative available for the particular patient according to the particular patient's medical condition and according to the particular patient's prognostic indicators; and displaying to a display device, an individualized recommendation of a particular medical treatment alternative according to said ranking.