Personalized glucose forecasting for type 2 diabetes using data assimilation von Albers, David J, Levine, Matthew, Gluckman, Bruce, Ginsberg, Henry, Hripcsak, George, Mamykina, Lena

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Next-generation phenotyping of electronic health records von Hripcsak, George, Albers, David J

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High-fidelity phenotyping: richness and freedom from bias von Hripcsak, George, Albers, David J

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Parameterizing time in electronic health record studies von Hripcsak, George, Albers, David J, Perotte, Adler

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Data-Driven Blood Glucose Pattern Classification and Anomalies Detection: Machine-Learning Applications in Type 1 Diabetes von Woldaregay, Ashenafi Zebene, Årsand, Eirik, Botsis, Taxiarchis, Albers, David, Mamykina, Lena, Hartvigsen, Gunnar

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Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes von Woldaregay, Ashenafi Zebene, Årsand, Eirik, Walderhaug, Ståle, Albers, David, Mamykina, Lena, Botsis, Taxiarchis, Hartvigsen, Gunnar

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Evaluating Prediction of Continuous Clinical Values: A Glucose Case Study von Hripcsak, George, Albers, David J.

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Colonoscopic full-thickness resection using an over-the-scope device: a prospective multicentre study in various indications von Schmidt, Arthur, Beyna, Torsten, Schumacher, Brigitte, Meining, Alexander, Richter-Schrag, Hans-Juergen, Messmann, Helmut, Neuhaus, Horst, Albers, David, Birk, Michael, Thimme, Robert, Probst, Andreas, Faehndrich, Martin, Frieling, Thomas, Goetz, Martin, Riecken, Bettina, Caca, Karel

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Ensemble Kalman methods with constraints von Albers, David J, Blancquart, Paul-Adrien, Levine, Matthew E, Esmaeilzadeh Seylabi, Elnaz, Stuart, Andrew

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Endoscopic full-thickness resection for early colorectal cancer von Kuellmer, Armin, Mueller, Julius, Caca, Karel, Aepli, Patrick, Albers, David, Schumacher, Brigitte, Glitsch, Anne, Schäfer, Claus, Wallstabe, Ingo, Hofmann, Christopher, Erhardt, Andreas, Meier, Benjamin, Bettinger, Dominik, Thimme, Robert, Schmidt, Arthur

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Flow-Limited and Reverse-Triggered Ventilator Dyssynchrony Are Associated With Increased Tidal and Dynamic Transpulmonary Pressure von Sottile, Peter D, Smith, Bradford, Stroh, Jake N, Albers, David J, Moss, Marc

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Correlating electronic health record concepts with healthcare process events von Hripcsak, George, Albers, David J

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Mechanistic machine learning: how data assimilation leverages physiologic knowledge using Bayesian inference to forecast the future, infer the present, and phenotype von Albers, David J, Levine, Matthew E, Stuart, Andrew, Mamykina, Lena, Gluckman, Bruce, Hripcsak, George

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A simple modeling framework for prediction in the human glucose–insulin system von Sirlanci, Melike, Levine, Matthew E., Low Wang, Cecilia C., Albers, David J., Stuart, Andrew M.

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Exploiting time in electronic health record correlations von Hripcsak, George, Albers, David J, Perotte, Adler

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The Association Between Ventilator Dyssynchrony, Delivered Tidal Volume, and Sedation Using a Novel Automated Ventilator Dyssynchrony Detection Algorithm von Sottile, Peter D., Albers, David, Higgins, Carrie, Mckeehan, Jeffery, Moss, Marc M.

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Low hemoglobin and hematoma expansion after intracerebral hemorrhage von Roh, David J, Albers, David J, Magid-Bernstein, Jessica, Doyle, Kevin, Hod, Eldad, Eisenberger, Andrew, Murthy, Santosh, Witsch, Jens, Park, Soojin, Agarwal, Sachin, Connolly, E Sander, Elkind, Mitchell S.V, Claassen, Jan

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Correction: Personalized glucose forecasting for type 2 diabetes using data assimilation von Albers, David J, Levine, Matthew, Gluckman, Bruce, Ginsberg, Henry, Hripcsak, George, Mamykina, Lena

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Data assimilation on mechanistic models of glucose metabolism predicts glycemic states in adolescents following bariatric surgery von Richter, Lauren R, Albert, Benjamin I, Zhang, Linying, Ostropolets, Anna, Zitsman, Jeffrey L, Fennoy, Ilene, Albers, David J, Hripcsak, George

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Methodological variations in lagged regression for detecting physiologic drug effects in EHR data von Levine, Matthew E., Albers, David J., Hripcsak, George

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