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Workshop on Applied Data Science for Healthcare: Applications and New Frontiers of Generative Models for Healthcare.

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Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks., , , , , , and . CoRR, (2016)G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes., , , , , , , and . CoRR, (2020)On convergence of multi-objective Particle Swarm Optimizers., , , , and . IEEE Congress on Evolutionary Computation, page 1-8. IEEE, (2010)Data-driven Risk Characterization and Prediction of Renal Failure among Diabetic Type 2 Patients using Electronic Medical Records., , , and . AMIA, AMIA, (2017)Artificial foraging weeds for global numerical optimization over continuous spaces., , , , and . IEEE Congress on Evolutionary Computation, page 1-8. IEEE, (2010)Dynamic Poisson Autoregression for Influenza-Like-Illness Case Count Prediction., , , , , and . KDD, page 1285-1294. ACM, (2015)Distillation to Enhance the Portability of Risk Models Across Institutions with Large Patient Claims Database., , , , , , and . CoRR, (2022)Forecasting a Moving Target: Ensemble Models for ILI Case Count Predictions., , , , , , , , , and 1 other author(s). SDM, page 262-270. SIAM, (2014)Phenotypical ontology driven framework for multi-task learning., , , , and . CHIL, page 183-192. ACM, (2021)On convergence of the multi-objective particle swarm optimizers., , , and . Inf. Sci., 181 (8): 1411-1425 (2011)