Final ID: Mo4023
Renedo Daniela, Schwamm Lee, Kamel Hooman, Matouk Charles, Tal Reshef, Sheth Kevin, Falcone Guido, Chaves-rivera Maria Natalia, Rivier Cyprien, Koo Andrew, Clocchiatti-tuozzo Santiago, Huo Shufan, Sujijantarat Nanthiya, Torres Lopez Victor, Hebert Ryan
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