 Connection
David Albers to Diabetes Mellitus, Type 2
This is a "connection" page, showing publications David Albers has written about Diabetes Mellitus, Type 2.
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Connection Strength |
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1.058 |
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Mitchell EG, Tabak EG, Levine ME, Mamykina L, Albers DJ. Enabling personalized decision support with patient-generated data and attributable components. J Biomed Inform. 2021 01; 113:103639.
Score: 0.285
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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: 0.245
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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: 0.222
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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: 0.085
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Burgermaster M, Desai PM, Heitkemper EM, Juul F, Mitchell EG, Turchioe M, Albers DJ, Levine ME, Larson D, Mamykina L. Who needs what (features) when? Personalizing engagement with data-driven self-management to improve health equity. J Biomed Inform. 2023 08; 144:104419.
Score: 0.085
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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: 0.065
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Feller DJ, Burgermaster M, Levine ME, Smaldone A, Davidson PG, Albers DJ, Mamykina L. A visual analytics approach for pattern-recognition in patient-generated data. J Am Med Inform Assoc. 2018 10 01; 25(10):1366-1374.
Score: 0.061
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Boland MR, Hripcsak G, Albers DJ, Wei Y, Wilcox AB, Wei J, Li J, Lin S, Breene M, Myers R, Zimmerman J, Papapanou PN, Weng C. Discovering medical conditions associated with periodontitis using linked electronic health records. J Clin Periodontol. 2013 May; 40(5):474-82.
Score: 0.010
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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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