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A new approach to integrating patient-generated data with expert knowledge for personalized goal setting: A pilot study., , , , , , , , , and 1 other author(s). Int. J. Medical Informatics, (2020)Learning About Structural Errors in Models of Complex Dynamical Systems., , , and . CoRR, (2024)Methodological variations in lagged regression for detecting physiologic drug effects in EHR data., , and . J. Biomed. Informatics, (2018)Pictures Worth a Thousand Words: Reflections on Visualizing Personal Blood Glucose Forecasts for Individuals with Type 2 Diabetes., , , and . CHI, page 538. ACM, (2018)Enabling personalized decision support with patient-generated data and attributable components., , , , and . J. Biomed. Informatics, (2021)An Intelligent Voice Assistant for Diabetes Self-Management: T2D2 - Taming Type 2 Diabetes, Together., , , , , , , and . AMIA, AMIA, (2018)Using mechanistic machine learning to forecast glucose and infer physiologic phenotypes in the ICU: what is possible and what are the challenges., , , , , and . AMIA, AMIA, (2018)Machine learning for personalized decision support with patient-generated health data., , , , and . AMIA, AMIA, (2019)Feasibility of a machine learning based method to generate personalized nutrition goals for diabetes self-management., , , , , , , , and . AMIA, AMIA, (2019)A visual analytics approach for pattern-recognition in patient-generated data., , , , , , and . J. Am. Medical Informatics Assoc., 25 (10): 1366-1374 (2018)