Final ID: Su2004
Mcclintick Daniel, Kamanu Frederick, Melloni Giorgio, Sabatine Marc, Ruff Christian, Ridker Paul, Chasman Daniel, Marston Nicholas
A Machine Learning-Derived Socio-Environmental Risk Score More Accurately Predicts Cardiovascular Events and Better Addresses Health Inequities than Social Deprivation IndexChen Zhuo, Nasir Khurram, Al-kindi Sadeer, Rajagopalan Sanjay, Ponnana Sai Rahul, Dazard Jean-eudes, Zhang Tong, Dong Weichuan, Okyere Robert, Sirasapalli Santosh, Deo Salil, Khraishah Haitham