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Aix-Marseille Université
Institut de Mathématiques de Marseille (I2M) - UMR 7373
Site Saint-Charles : 3 place Victor Hugo, Case 19, 13331 Marseille Cedex 3
Site Luminy : Campus de Luminy - Case 907 - 13288 Marseille Cedex 9

Séminaire

Séminaire d’Antoine Moll

Antoine Moll
...

Date(s) : 22/06/2026   iCal
14h00 - 15h30

Antoine nous parlerra d’”Improving Fairness in the Detection of Undiagnosed Diabetes without Increasing Loss Ratio” dont voici un résumé :

Undiagnosed diabetes is a significant source of risk misclassifications in life and health insurance underwriting, affecting mortality, disability, and critical illness assessments. Because many applicants are unaware of their condition, insurers relying solely on self-reported information may underestimate true medical risk. This study examines how complementary screening strategies can improve the detection of undiagnosed diabetes while controlling medical testing costs and enhancing fairness strategy of testing.
Using data from the National Health and Nutrition Examination Survey (NHANES) linked to mortality follow-up, several screening strategies are evaluated, ranging from simple questionnaires to a model without constraints. Logistic regression and gradient boosting models are used to estimate the probability of undiagnosed diabetes, while mortality is modeled using Cox proportional hazards. Economic performance is evaluated through a loss ratio framework that incorporates underwriting costs.
A screening strategy combining a medical examination with a urine albumin to creatinine test markedly improves detection and mortality segmentation while remaining cost efficient. Testing about 30-40% of the highest risk applicants maximizes underwriting gains but it creates unfairness and methods are developed to improve fairness.

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