 Connection
David Albers to Blood Glucose
This is a "connection" page, showing publications David Albers has written about Blood Glucose.
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Connection Strength |
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1.971 |
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Albers D, Sirlanci M, Levine M, Claassen J, Nigoghossian C, Hripcsak G. Interpretable physiological forecasting in the ICU using constrained data assimilation and electronic health record data. J Biomed Inform. 2023 09; 145:104477.
Score: 0.463
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Hripcsak G, Albers DJ. Evaluating Prediction of Continuous Clinical Values: A Glucose Case Study. Methods Inf Med. 2022 06; 61(S 01):e35-e44.
Score: 0.417
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Albers DJ, Levine M, Gluckman B, Ginsberg H, Hripcsak G, Mamykina L. Personalized glucose forecasting for type 2 diabetes using data assimilation. PLoS Comput Biol. 2017 04; 13(4):e1005232.
Score: 0.299
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Mamykina L, Levine ME, Davidson PG, Smaldone AM, Elhadad N, Albers DJ. Data-driven health management: reasoning about personally generated data in diabetes with information technologies. J Am Med Inform Assoc. 2016 05; 23(3):526-31.
Score: 0.276
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Burgermaster M, Son JH, Davidson PG, Smaldone AM, Kuperman G, Feller DJ, Burt KG, Levine ME, Albers DJ, Weng C, Mamykina L. A new approach to integrating patient-generated data with expert knowledge for personalized goal setting: A pilot study. Int J Med Inform. 2020 07; 139:104158.
Score: 0.092
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Albers DJ, Levine ME, Mamykina L, Hripcsak G. The parameter Houlihan: A solution to high-throughput identifiability indeterminacy for brutally ill-posed problems. Math Biosci. 2019 10; 316:108242.
Score: 0.088
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Woldaregay AZ, ?rsand E, Walderhaug S, Albers D, Mamykina L, Botsis T, Hartvigsen G. Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes. Artif Intell Med. 2019 07; 98:109-134.
Score: 0.087
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Woldaregay AZ, ?rsand E, Botsis T, Albers D, Mamykina L, Hartvigsen G. Data-Driven Blood Glucose Pattern Classification and Anomalies Detection: Machine-Learning Applications in Type 1 Diabetes. J Med Internet Res. 2019 05 01; 21(5):e11030.
Score: 0.086
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Albers DJ, Levine ME, Stuart A, Mamykina L, Gluckman B, Hripcsak G. Mechanistic machine learning: how data assimilation leverages physiologic knowledge using Bayesian inference to forecast the future, infer the present, and phenotype. J Am Med Inform Assoc. 2018 10 01; 25(10):1392-1401.
Score: 0.082
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Sedigh-Sarvestani M, Albers DJ, Gluckman BJ. Data assimilation of glucose dynamics for use in the intensive care unit. Annu Int Conf IEEE Eng Med Biol Soc. 2012; 2012:5437-40.
Score: 0.052
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Sirlanci M, Levine ME, Low Wang CC, Albers DJ, Stuart AM. A simple modeling framework for prediction in the human glucose-insulin system. Chaos. 2023 Jul 01; 33(7).
Score: 0.029
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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