FedAvg DeepSurv across Lifelines (n=148k, self-report) and Rotterdam Study (n=10k, linked outcomes) raised C-statistics from 0.728 to 0.739 and 0.783 to 0.787 versus local training.
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Multilevel Normal, Poisson, and population-offset Poisson models applied to Ohio and Pennsylvania county-level CVD mortality (1999–2020) reveal persistent racial and sex disparities, post-2010 stagnation, and state-differential PM2.5 effects.
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Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction
FedAvg DeepSurv across Lifelines (n=148k, self-report) and Rotterdam Study (n=10k, linked outcomes) raised C-statistics from 0.728 to 0.739 and 0.783 to 0.787 versus local training.
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A Hierarchical Multilevel Inference Framework for Structural Cardiovascular Risk Modeling: County-Scale Analysis of Cardiovascular Mortality in Ohio and Pennsylvania (1999-2020)
Multilevel Normal, Poisson, and population-offset Poisson models applied to Ohio and Pennsylvania county-level CVD mortality (1999–2020) reveal persistent racial and sex disparities, post-2010 stagnation, and state-differential PM2.5 effects.