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
462017
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
302016
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
282018
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
252018
Ensemble Kalman methods with constraints
DJ Albers, PA Blancquart, ME Levine, EE Seylabi, A Stuart
Inverse Problems 35 (9), 095007, 2019
182019
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
142018
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
112018
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
92019
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
92016
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
82018
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
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
22019
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
22017
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
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
12019
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, 103639, 2020
2020
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, 104158, 2020
2020
Behavioral-clinical phenotyping with type 2 diabetes self-monitoring data
ME Levine, DJ Albers, M Burgermaster, PG Davidson, AM Smaldone, ...
arXiv preprint arXiv:1802.08761, 2018
2018
Summary of Best Papers Selected for the 2018 Edition of the IMIA Yearbook, Section AI in Health
DJ Albers, ME Levine, A Stuart, L Mamykina, B Gluckman, G Hripcsak
J Am Med Inform Assoc 25 (10), 1392-401, 2018
2018
Why predicting postprandial glucose using self-monitoring data is difficult.
DJ Albers, ME Levine, AM Stuart, BJ Gluckman, G Hripcsak
AMIA, 2017
2017
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