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Matthew E Levine

Showing results (1-10 of 16) with videos related to

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AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 9, 2017
Comparing lagged linear correlation, lagged regression, Granger causality, and vector autoregression for uncovering associations in EHR dataMatthew E Levine, David J Albers, George Hripcsak
Journal of Biomedical Informatics|September 3, 2018
Methodological variations in lagged regression for detecting physiologic drug effects in EHR dataMatthew E Levine, David J Albers, George Hripcsak
Mathematical Biosciences|August 28, 2019
The parameter Houlihan: A solution to high-throughput identifiability indeterminacy for brutally ill-posed problemsDavid J Albers, Matthew E Levine, Lena Mamykina, et al.
Journal of the American Medical Informatics Association : JAMIA|November 6, 2018
Effect of vocabulary mapping for conditions on phenotype cohortsGeorge Hripcsak, Matthew E Levine, Ning Shang, et al.
Journal of Biomedical Informatics|December 14, 2020
Enabling personalized decision support with patient-generated data and attributable componentsElliot G Mitchell, Esteban G Tabak, Matthew E Levine, et al.
Inverse Problems|November 23, 2020
Ensemble Kalman Methods With ConstraintsDavid J Albers, Paul-Adrien Blancquart, Matthew E Levine, et al.
Journal of the American Medical Informatics Association : JAMIA|October 13, 2018
Mechanistic machine learning: how data assimilation leverages physiologic knowledge using Bayesian inference to forecast the future, infer the present, and phenotypeDavid J Albers, Matthew E Levine, Andrew Stuart, et al.
Chaos (Woodbury, N.Y.)|July 24, 2023
A simple modeling framework for prediction in the human glucose-insulin systemMelike Sirlanci, Matthew E Levine, Cecilia C Low Wang, et al.
Journal of the American Medical Informatics Association : JAMIA|March 18, 2016
Data-driven health management: reasoning about personally generated data in diabetes with information technologiesLena Mamykina, Matthew E Levine, Patricia G Davidson, et al.
Infectious Disease Modelling|June 3, 2026
Resolving parameter uncertainty in SIR models through population-level serological surveillance: A synthetic studyBinod Pant, Matthew E Levine, Anjalika Nande, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 9, 2017
Comparing lagged linear correlation, lagged regression, Granger causality, and vector autoregression for uncovering associations in EHR dataMatthew E Levine, David J Albers, George Hripcsak
Journal of Biomedical Informatics|September 3, 2018
Methodological variations in lagged regression for detecting physiologic drug effects in EHR dataMatthew E Levine, David J Albers, George Hripcsak
Mathematical Biosciences|August 28, 2019
The parameter Houlihan: A solution to high-throughput identifiability indeterminacy for brutally ill-posed problemsDavid J Albers, Matthew E Levine, Lena Mamykina, et al.
Journal of the American Medical Informatics Association : JAMIA|November 6, 2018
Effect of vocabulary mapping for conditions on phenotype cohortsGeorge Hripcsak, Matthew E Levine, Ning Shang, et al.
Journal of Biomedical Informatics|December 14, 2020
Enabling personalized decision support with patient-generated data and attributable componentsElliot G Mitchell, Esteban G Tabak, Matthew E Levine, et al.
Inverse Problems|November 23, 2020
Ensemble Kalman Methods With ConstraintsDavid J Albers, Paul-Adrien Blancquart, Matthew E Levine, et al.
Journal of the American Medical Informatics Association : JAMIA|October 13, 2018
Mechanistic machine learning: how data assimilation leverages physiologic knowledge using Bayesian inference to forecast the future, infer the present, and phenotypeDavid J Albers, Matthew E Levine, Andrew Stuart, et al.
Chaos (Woodbury, N.Y.)|July 24, 2023
A simple modeling framework for prediction in the human glucose-insulin systemMelike Sirlanci, Matthew E Levine, Cecilia C Low Wang, et al.
Journal of the American Medical Informatics Association : JAMIA|March 18, 2016
Data-driven health management: reasoning about personally generated data in diabetes with information technologiesLena Mamykina, Matthew E Levine, Patricia G Davidson, et al.
Infectious Disease Modelling|June 3, 2026
Resolving parameter uncertainty in SIR models through population-level serological surveillance: A synthetic studyBinod Pant, Matthew E Levine, Anjalika Nande, et al.
Pageof 2