 Connection
David Albers to Machine Learning
This is a "connection" page, showing publications David Albers has written about Machine Learning.
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Connection Strength |
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1.476 |
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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: 0.522
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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: 0.491
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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: 0.143
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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: 0.130
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Levine ME, Albers DJ, Hripcsak G. Methodological variations in lagged regression for detecting physiologic drug effects in EHR data. J Biomed Inform. 2018 10; 86:149-159.
Score: 0.122
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Fu LH, Knaplund C, Cato K, Perotte A, Kang MJ, Dykes PC, Albers D, Collins Rossetti S. Utilizing timestamps of longitudinal electronic health record data to classify clinical deterioration events. J Am Med Inform Assoc. 2021 08 13; 28(9):1955-1963.
Score: 0.037
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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: 0.032
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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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