Description: This article shows how to use a RBF Neural network to predict if a breast tumor is malignant. The network is trained using a genetic algorithm that uses C# multi-threading.

Description: Essay reforming healthcare where participants have a vested interest in reaching the best answer.

Description: The purpose of this survey was to gather data on how a sampling of the life insurance industry makes decisions involving lab tests. This most significant conclusions were that protective value was the biggest driving force and the chief underwriter played the biggest role.

Description: These are the appendices to a report summarizing the results of a Delphi study to identify and debate possible new approaches or Blue Ocean Strategies to acquiring business by life insurers.

Description: This report summarizes the results of a Delphi study to identify and debate possible new approaches or Blue Ocean strategies to acquiring business by life insurers. Appendices are included.

Description: This article notes the available pulications from Hank George, an underwriting expert, that will help keep you up to date on the subject.

Description: This report examines mortality and other actuarial assumptions for products sold at older ages.

Description: Highlights of the 1997 International Underwriting Congress with an in depth discussion of 1 critical illness policies and 2 Use of population data where little insurance data exists.

Description: This is an article about genetics, diagnostic testing and related underwriting of insurance policies.

Description: The article warns actuaries that using predictive models in the underwriting process has a strong potential of inadvertently using variables that are prohibited by law.