DATA ANALYSIS AND PREDICTIVE SYSTEMS AND RELATED M

专利名称：DATA ANALYSIS AND PREDICTIVE SYSTEMS

AND RELATED METHODOLOGIES

发明人：Nikola Kirilov Kasabov申请号：US13088306申请日：20110415

公开号：US20110307228A1公开日：20111215

专利附图：

摘要：A method of optimising a model Mx suitable for use in data analysis anddetermining a prognostic outcome specific to a particular subject (input vector x), thesubject comprising a number of variable features in relation to a scenario of interest for

which there is a global dataset D of samples also having the same features relating to thescenario, and for which the outcome is known is disclosed. In one implementation, themethod includes: (a) determining what number and a subset Vx of variable features willbe used in assessing the outcome for the input vector x; (b) determining what number Kxof samples from within the global data set D will form a neighbourhood about x; (c)selecting suitable Kx samples from the global data set which have the variable featuresthat most closely accord to the variable features of the particular subject x to form theneighbourhood Dx; (d) ranking the Vx variable features within the neighbourhood Dx inorder of importance to the outcome of vector x and obtaining a weight vector Wx for allvariable features Vx; (e) creating a prognostic model Mx, having a set of modelparameters Px and the other parameters from (a)-(d); (f) testing the accuracy of themodel Mx at e) for each sample from Dx; (g) storing both the accuracy from (f), and themodel parameters developed in (a) to (e); (h) repeating (a) and/or (b) whilst applying anoptimisation procedure to optimise Vx and/or Kx, to determine their optimal values,before repeating (c)-(h) until maximum accuracy at (f) is achieved.

申请人：Nikola Kirilov Kasabov

地址：Auckland NA

国籍：NA

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