Patent Document ID: 20100143256
Application ID: 12575297
Patent Flag: 0

Claim One:
1. A method of predicting an outcome of a first treatment based on neurophysiologic information obtained from a subject by scaling neurophysiologic information to enable comparison with stored neurophysiologic information obtained from a data source; computing at least one indicative variable from the neurophysiologic information; and evaluating the at least one indicative variable with aid of at least one rule in order to predict the outcome of the first treatment prior to actually administering the first treatment; characterized in that the method comprises the steps of: identifying the at least one indicative variable by screening a response database comprising pro-treatment neurophysiologic information and response to the first treatment in the form of active-treatment neurophysiologic information from a plurality of subjects; identifying clusters of pretreatment neurophysiologic information associated with subjects having similar responses to the first treatment in the form of active-treatment neurophysiologic information as part of the screening step, by identifying a region in a multidimensional space defined by a range of values of unitary variables such that a threshold number of subjects having a common response to the first treatment in the form of active-treatment neurophysiologic information are included in the region; and identifying the range of values of unitary variables describing the region; combining the set of unitary variables having values shared by subjects within a cluster to form a multivariable and employing the multivariable as the at least one indicative variable; and wherein the method is conducted on a subject independent of a behavioral mental disease diagnosis of, or behavioral data from the subject.