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Personalized medicine beyond genetics: using personalized model-based forecasting to help type 2 diabetics understand and predict their post-meal glucose.

, , , , and . AMIA, AMIA, (2015)

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Pictures Worth a Thousand Words: Reflections on Visualizing Personal Blood Glucose Forecasts for Individuals with Type 2 Diabetes., , , and . CHI, page 538. ACM, (2018)Learning about structural errors in models of complex dynamical systems., , , and . J. Comput. Phys., (2024)From Reflection to Action: Combining Machine Learning with Expert Knowledge for Nutrition Goal Recommendations., , , , , , , , , and 3 other author(s). CHI, page 206:1-206:17. ACM, (2021)Reflecting on Diabetes Self-Management Logs with Simulated, Continuous Blood Glucose Curves: A Pilot Study., , , and . AMIA, AMIA, (2017)Hybrid2 Neural ODE Causal Modeling and an Application to Glycemic Response., , , , and . ICML, OpenReview.net, (2024)Personal Health Oracle: Explorations of Personalized Predictions in Diabetes Self-Management., , , , , and . CHI, page 370. ACM, (2019)Lessons learned from assimilating knowledge into machine learning to forecast and control glucose in a critical care setting., , , , , , , and . AMIA, AMIA, (2020)Using data assimilation to forecast post-meal glucose for patients with type 2 diabetes., , , , and . AMIA, AMIA, (2016)Comparing Lagged Linear Correlation, Lagged Regression, Granger Causality, and Vector Autoregression for Uncovering Associations in EHR Data., , and . AMIA, AMIA, (2016)An Intelligent Voice Assistant for Diabetes Self-Management: T2D2 - Taming Type 2 Diabetes, Together., , , , , , , and . AMIA, AMIA, (2018)