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Matthew E. Levine
Matthew E. Levine
Graduate Student, Computing and Mathematical Sciences, Caltech
Verified email at caltech.edu - Homepage
Title
Cited by
Cited by
Year
Personalized glucose forecasting for type 2 diabetes using data assimilation
DJ Albers, M Levine, B Gluckman, H Ginsberg, G Hripcsak, L Mamykina
PLoS computational biology 13 (4), e1005232, 2017
772017
Ensemble Kalman methods with constraints
DJ Albers, PA Blancquart, ME Levine, EE Seylabi, A Stuart
Inverse Problems 35 (9), 095007, 2019
372019
Pictures worth a thousand words: Reflections on visualizing personal blood glucose forecasts for individuals with type 2 diabetes
PM Desai, ME Levine, DJ Albers, L Mamykina
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems …, 2018
362018
Data-driven health management: reasoning about personally generated data in diabetes with information technologies
L Mamykina, ME Levine, PG Davidson, AM Smaldone, N Elhadad, ...
Journal of the American Medical Informatics Association 23 (3), 526-531, 2016
362016
Effect of vocabulary mapping for conditions on phenotype cohorts
G Hripcsak, ME Levine, N Shang, PB Ryan
Journal of the American Medical Informatics Association 25 (12), 1618-1625, 2018
352018
Mechanistic machine learning: how data assimilation leverages physiologic knowledge using Bayesian inference to forecast the future, infer the present, and phenotype
DJ Albers, ME Levine, A Stuart, L Mamykina, B Gluckman, G Hripcsak
Journal of the American Medical Informatics Association 25 (10), 1392-1401, 2018
312018
Personal health oracle: Explorations of personalized predictions in diabetes self-management
PM Desai, EG Mitchell, ML Hwang, ME Levine, DJ Albers, L Mamykina
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems …, 2019
272019
A visual analytics approach for pattern-recognition in patient-generated data
DJ Feller, M Burgermaster, ME Levine, A Smaldone, PG Davidson, ...
Journal of the American Medical Informatics Association 25 (10), 1366-1374, 2018
252018
Methodological variations in lagged regression for detecting physiologic drug effects in EHR data
M Levine, D Albers, G Hripcsak
Journal of Biomedical Informatics 86, 149-159, 2018
152018
Comparing lagged linear correlation, lagged regression, Granger causality, and vector autoregression for uncovering associations in EHR data
ME Levine, DJ Albers, G Hripcsak
AMIA Annual Symposium Proceedings 2016, 779, 2016
112016
A framework for machine learning of model error in dynamical systems
ME Levine, AM Stuart
arXiv preprint arXiv:2107.06658, 2021
92021
Real-time electronic health record mortality prediction during the COVID-19 pandemic: a prospective cohort study
PD Sottile, D Albers, PE DeWitt, S Russell, JN Stroh, DP Kao, B Adrian, ...
Journal of the American Medical Informatics Association 28 (11), 2354-2365, 2021
72021
A new approach to integrating patient-generated data with expert knowledge for personalized goal setting: A pilot study
M Burgermaster, JH Son, PG Davidson, AM Smaldone, G Kuperman, ...
International journal of medical informatics 139, 104158, 2020
72020
From personal informatics to personal analytics: Investigating how clinicians and patients reason about personal data generated with self-monitoring in diabetes
L Mamykina, ME Levine, PG Davidson, AM Smaldone, N Elhadad, ...
Cognitive Informatics in Health and Biomedicine, 301-313, 2017
52017
Enabling personalized decision support with patient-generated data and attributable components
EG Mitchell, EG Tabak, ME Levine, L Mamykina, DJ Albers
Journal of biomedical informatics 113, 103639, 2021
42021
The Parameter Houlihan: a solution to high-throughput identifiability indeterminacy for brutally ill-posed problems
DJ Albers, ME Levine, L Mamykina, G Hripcsak
Mathematical biosciences 316, 108242, 2019
42019
Offline and online data assimilation for real-time blood glucose forecasting in type 2 diabetes
ME Levine, G Hripcsak, L Mamykina, A Stuart, DJ Albers
arXiv preprint arXiv:1709.00163, 2017
42017
A simple modeling framework for prediction in the human glucose-insulin system
DJ Albers, ME Levine, M Sirlanci, AM Stuart
arXiv preprint arXiv:1910.14193, 2019
32019
Using data assimilation of mechanistic models to estimate glucose and insulin metabolism
JJ Mulgrave, ME Levine, DJ Albers, J Ha, A Sherman, G Hripcsak
arXiv preprint arXiv:2003.06541, 2020
12020
Correction: Personalized glucose forecasting for type 2 diabetes using data assimilation
DJ Albers, M Levine, B Gluckman, H Ginsberg, G Hripcsak, L Mamykina
PLoS computational biology 17 (8), e1009325, 2021
2021
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