Abstract:
Embodiments facilitate determining patient preferences with respect to treatment attributes. A set of treatment options, comprising attributes, for a medical condition may be accessed. A first subset of treatment options may be selected and displayed to a patient. An indication may be received from the patient of a most preferred treatment option and/or a least preferred treatment option. Using the indications received from the patient regarding the first subset of treatment options, another subset of treatment options may be adaptively selected. An indication from the patient of a most preferred treatment option and/or a least preferred treatment option of the adaptively selected subset of treatment options may be received. Based at least in part on the indications received from the patient, a utility function may be generated. The utility function may be used to generate, optionally in substantially real-time, scoring and/or ranking information with respect to the plurality of attributes.
Abstract:
Embodiments provide recommendations. A set of stimuli for an item type is generated by identifying a plurality of items corresponding to the item type, a set of objective and/or subjective attributes associated with the item type, and levels corresponding to at least a portion of the set of attributes for the plurality of items. Utility functions are generated in which a given attribute in the set of attributes is associated with a weighting indicating a relative importance of given attribute to a respective simulated consumer. A set of items is selected and presented to a user. A user indication is received as to which item in the set is a most preferred item and/or which item in the set of items is a least preferred item. A utility function is selected from the plurality of utility functions. Item ranking scores are generated using the selected utility function.
Abstract:
Embodiments facilitate determining patient preferences with respect to treatment attributes. A set of treatment options, comprising attributes, for a medical condition may be accessed. A first subset of treatment options may be selected and displayed to a patient. An indication may be received from the patient of a most preferred treatment option and/or a least preferred treatment option. Using the indications received from the patient regarding the first subset of treatment options, another subset of treatment options may be adaptively selected. An indication from the patient of a most preferred treatment option and/or a least preferred treatment option of the adaptively selected subset of treatment options may be received. Based at least in part on the indications received from the patient, a utility function may be generated. The utility function may be used to generate, optionally in substantially real-time, scoring and/or ranking information with respect to the plurality of attributes.