Manuel Plisson, Antoine Moll, Valentine Sarrazin, Denis Charles, Thibault Antoine, Razvan Ionescu, Odile Koehren, Eric Raymond
INTRODUCTION: -Due to early detection and improved therapies, the prevalence of long-term breast cancer survivors is increasing. This has increased the need for more inclusive underwriting in individuals with a history of breast cancer. Herein, we developed a method using algorithm aiming facilitating the underwriting of multiple parameters in breast cancer survivors. METHODS: -Variables and data were extracted from the SEER database and analyzed using 4 different machine learning based algorithms (Logistic Regression, GA2M, Random Forest, and XGBoost) that were compared with Kaplan Meier survival estimates...
July 1, 2023: Journal of Insurance Medicine