The project goal was to test a previously designed adaptive risk scoring model for long term care insurance underwriting using actual applicant data from John Hancock. A data filtering method for removing applicants who should not be used to train the model was developed. The model provides accurate risk class assignment, based solely on the medical conditions, when trained on the filtered data. In addition, the model identifies errors in the risk points assigned to individual medical conditions.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Kraynak, Joseph F.
• Wicklund, Jaris B.
• Treese, William J.
• Kluza, Joanna B.

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-042607-172532

Advisor

• Heinricher, Arthur C.
• Abraham, Jon P.

Year

• 2007

Sponsor

• John Hancock

Date created

• 2007-04-26

luogo

• Boston

Resource type

• Major Qualifying Project

Major

• Actuarial Mathematics

Rights statement

• In Copyright

Ultima modifica

• 2021-01-26