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Populating a task directed community in a complex heterogeneous environment based on non-linear attributes of a paradigmatic cohort member

  • US 8,429,182 B2
  • Filed: 10/13/2010
  • Issued: 04/23/2013
  • Est. Priority Date: 10/13/2010
  • Status: Expired due to Fees
First Claim
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1. A computer implemented method of populating a task directed community, the computer implemented method comprising:

  • a processor identifying non-linear attributes of each member of a first cohort, wherein the first cohort is a task directed community that has a first agenda, and wherein each of the non-linear attributes is individually unrelated to the first agenda;

    the processor identifying common non-linear attributes that are shared by multiple members of the first cohort;

    the processor defining a paradigmatic member of the first cohort based on the common non-linear attributes of the members of the first cohort and at least one constraint on the first cohort;

    the processor mapping the paradigmatic member of the first cohort to the common non-linear attributes of the members of the first cohort and said at least one constraint on the first cohort for storage of same;

    the processor identifying a second agenda of a second cohort;

    the processor comparing the second agenda to the first agenda;

    the processor executing a Bayesian analysis to determine enrollment candidates to the second cohort, wherein the Bayesian analysis is performed by executing the formula;

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