Expert system design for long term care underwriting Public
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The project presents a mathematical model created to determine a risk score for applicants for long term care insurance. We developed software to assist in the implementation and testing of the model. We analyze the suitability of our model, including the sensitivity of scores to the model's parameters. We formulate methods which could help train the model, including numerical regression to solve for model parameters and pair-wise comparisons between applicants to verify consistency of parameters and risk factors.
- 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.
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