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Title: US7567914: System and process for dominance classification for insurance underwriting suitable for use by an automated system
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Country: US United States of America

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Inventor: Bonissone, Piero Patrone; Schenectady, NY, United States of America
Iyer, Naresh Sundaram; Clifton Park, NY, United States of America

Assignee: Genworth Financial, Inc., Richmond, VA, United States of America
other patents from GENWORTH FINANCIAL, INC. (855207) (approx. 2)
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Published / Filed: 2009-07-28 / 2003-04-30

Application Number: US2003000425723

IPC Code: Advanced: G06Q 10/00; G06Q 40/00;
Core: more...

ECLA Code: G06Q10/00F; G06Q40/00A;

U.S. Class: 705/004; 705/001; 705/002; 705/003; 706/006; 706/046; 706/047;

Field of Search: 705/004

Priority Number:
2003-04-30  US2003000425723

Abstract:     A risk classification technique that exploits the existing risk structure of the decision problem in order to produce risk categorizations for new candidates is described. The technique makes use of a set of candidates for which risk categories have already been assigned (in the case of insurance underwriting, for example, this would pertain to the premium class assigned to an application). Using this set of labeled candidates, the technique produces two subsets for each risk category: the Pareto-best subset and the Pareto-worst subset by using Dominance. These two subsets can be seen as representing the least risky and the most risky candidates within a given risk category. If there are a sufficient number of candidates in these two subsets, then the candidates in these two subsets can be seen as samples from the two hypothetical risk surfaces in the feature space that bound the risk category from above and below respectively. A new candidate is assigned a risk category by verifying if the candidate lies within these two bounding risk surfaces.

Attorney, Agent or Firm: Hunton & Williams ;

Primary / Asst. Examiners: Gilligan, C. Luke; Sereboff, Neal R

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    1. A process performed by a computing device for underwriting an insurance application based on a plurality of previous insurance application underwriting decisions, the process comprising:

gathering, by the computing device, a plurality of previous insurance application underwriting decisions, where the plurality of decisions have resulted in the same classification for respective prior applications to which the decisions are associated with, the plurality of decisions each comprise a plurality of features;

receiving, by the computing device, a request to underwrite an insurance application, where the request includes information about at least one application component;

defining, by the computing device, a first set comprising at least one of the plurality of previous insurance application underwriting decisions that is not dominated by any other of the plurality of previous insurance application underwriting decisions, such that the first set constitutes a Pareto-best subset;

defining, by the computing device, a second set comprising at least one of the plurality of previous insurance application underwriting decisions that does not dominate any of the other of the plurality of previous insurance application underwriting decisions, such that the second set constitutes a Pareto-worst subset, the first set and the second set being constituted by different previous insurance application underwriting decisions;

the first set and the second set associated with respective prior applications; and

comparing, by the computing device, the insurance application to the first set and the second set; and

wherein the insurance application comprises a plurality of features; and

where the comparing the insurance application to the first set and the second set further comprises:

comparing the at least one feature to a corresponding feature in the at least one of the plurality of previous insurance application underwriting decisions in the first set; and

comparing the at least one feature to a corresponding feature in the at least one of the plurality of previous insurance application underwriting decisions in the second set; and

where:

comparing the at least one feature to a corresponding feature in the first set further comprises determining if the at least one feature in the insurance application is dominated by the corresponding feature in the first set to generate a first dominated determination; and

comparing the at least one feature to a corresponding feature in the second set further comprises determining if the at least one feature in the insurance application is dominated by the corresponding feature in the second set to generate a second dominated determination;

each of the comparings including determining whether each of said feature in the insurance application represents greater or less risk than the corresponding feature in the first set or second set, respectively;

the process further including, based on the first and second dominated determinations, assessing, by the computing device, whether all the features of the application are dominated by all the corresponding features of the first set, and including assessing whether all the features of the application are dominated by all the corresponding features of the second set;

the process further including assigning, by the computing device, a risk assessment to the insurance application based on the assessings; and

outputting, by the computing device, the risk assessment.



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Foreign References:
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Buy PDF- 10pp EP0621556A2 1994-10  G06K 9/03 EASTMAN KODAK CO A process for combining the results of several classifiers 
Buy PDF- 60pp WO9822936 1998-05  G10L 5/06 NETIX INC T SUBWORD-BASED SPEAKER VERIFICATION USING MULTIPLE CLASSIFIER FUSION, WITH CHANNEL, FUSION, MODEL, AND THRESHOLD ADAPTATION 
Buy PDF- 3pp WO0120512A2 2001-03  G06F 17/60 GEN ELECTRIC METHOD FOR MODELING MARKET RESPONSE RATES 
Buy PDF- 3pp WO0163445 2001-08  G06F 17/60 EQE INTERNATIONAL INC COMPREHENSIVE RISK ASSESSMENT SYSTEM AND AUTONOMOUS METHODS OF INSURANCE UNDERWRITING UTILIZING SAME 
Buy PDF- 48pp WO0188834A2 2001-11  G06F 19/00 BERGER GIDEON METHOD AND SYSTEM FOR DATA CLASSIFICATION IN THE PRESENCE OF A TEMPORAL NON-STATIONARITY 
  WO0004US0008256 2004-11       


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  • Continuity Data:
    Application Number Filed Notes

    US2003000425723 2003-04-30  is a related to the prior publication
         US20040220839A1 issued 2004-11-04  System and process for dominance classification for insurance underwriting suitable for use by an automated system

    12509703   is a continuation of
    >US2003000425723<  2003-04-30
         US7567914 issued 2009-07-28   System and process for dominance classification for insurance underwriting suitable for use by an automated system


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