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M. Levine · SciRah

Researcher profile · Semantic Scholar

M. Levine

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M. Levine — researcher profile on SciRah

h-index: 15
Works: 43
Citations: 665

Most-cited papers

Personalized glucose forecasting for type 2 diabetes using data assimilation
D. Albers, M. Levine, B. Gluckman, H. Ginsberg +2 more
2017PLoS Comput. Biol.109 citations Open access
Semantic Scholar
Personal Health Oracle: Explorations of Personalized Predictions in Diabetes Self-Management
Pooja M. Desai, Elliot G. Mitchell, Maria L. Hwang, M. Levine +2 more
2019International Conference on Human Factors in Computing Systems70 citations
Semantic Scholar
Ensemble Kalman Methods With Constraints
D. Albers, Paul-Adrien Blancquart, M. Levine, Elnaz Esmaeilzadeh Seylabi +1 more
2019Inverse Problems64 citations Open access
Semantic Scholar
Pictures Worth a Thousand Words: Reflections on Visualizing Personal Blood Glucose Forecasts for Individuals with Type 2 Diabetes
Pooja M. Desai, M. Levine, D. Albers, L. Mamykina
2018International Conference on Human Factors in Computing Systems54 citations
Semantic Scholar
Data-driven health management: reasoning about personally generated data in diabetes with information technologies
L. Mamykina, M. Levine, P. G. Davidson, A. Smaldone +2 more
2016J. Am. Medical Informatics Assoc.45 citations Open access
Semantic Scholar
Effect of vocabulary mapping for conditions on phenotype cohorts
G. Hripcsak, M. Levine, N. Shang, P. Ryan
2018J. Am. Medical Informatics Assoc.41 citations Open access
Semantic Scholar
Mechanistic machine learning: how data assimilation leverages physiologic knowledge using Bayesian inference to forecast the future, infer the present, and phenotype
D. Albers, M. Levine, A. Stuart, L. Mamykina +2 more
2018J. Am. Medical Informatics Assoc.40 citations Open access
Semantic Scholar
A visual analytics approach for pattern-recognition in patient-generated data
Daniel J. Feller, Marissa Burgermaster, M. Levine, A. Smaldone +3 more
2018J. Am. Medical Informatics Assoc.32 citations Open access
Semantic Scholar
Real-time electronic health record mortality prediction during the COVID-19 pandemic: a prospective cohort study
P. Sottile, David J. Albers, Peter E. Dewitt, Seth Russell +10 more
2021J. Am. Medical Informatics Assoc.22 citations Open access
Semantic Scholar
A simple modeling framework for prediction in the human glucose-insulin system.
M. Sirlanci, M. Levine, C. C. Low Wang, D. Albers +1 more
2019Chaos22 citations Open access
Semantic Scholar
Methodological variations in lagged regression for detecting physiologic drug effects in EHR data
M. Levine, D. Albers, G. Hripcsak
2018Journal of Biomedical Informatics22 citations Open access
Semantic Scholar
Hybrid2 Neural ODE Causal Modeling and an Application to Glycemic Response
B. Zou, M. Levine, Dessi P. Zaharieva, Ramesh Johari +1 more
2024International Conference on Machine Learning20 citations
Semantic Scholar
A new approach to integrating patient-generated data with expert knowledge for personalized goal setting: a pilot study
Marissa Burgermaster, Jung H. Son, P. G. Davidson, A. Smaldone +7 more
2020Int. J. Medical Informatics20 citations Open access
Semantic Scholar
Who needs what (features) when? Personalizing engagement with data-driven self-management to improve health equity
Marissa Burgermaster, Pooja M. Desai, Elizabeth M. Heitkemper, Filippa Juul +6 more
2023Journal of Biomedical Informatics16 citations Open access
Semantic Scholar
The Parameter Houlihan: a solution to high-throughput identifiability indeterminacy for brutally ill-posed problems
D. Albers, M. Levine, L. Mamykina, G. Hripcsak
2019Mathematical Biosciences16 citations Open access
Semantic Scholar
Comparing Lagged Linear Correlation, Lagged Regression, Granger Causality, and Vector Autoregression for Uncovering Associations in EHR Data
M. Levine, D. Albers, G. Hripcsak
2016American Medical Informatics Association Annual Symposium11 citations
Semantic Scholar
Enabling Personalized Decision Support with Patient-Generated Data and Attributable Components
Elliot G. Mitchell, E. Tabak, M. Levine, L. Mamykina +1 more
2019Journal of Biomedical Informatics9 citations Open access
Semantic Scholar
T2 Coach: A Qualitative Study of an Automated Health Coach for Diabetes Self-Management
Elliot G. Mitchell, Pooja M. Desai, Arlene M. Smaldone, A. Cassells +4 more
2025International Conference on Human Factors in Computing Systems8 citations Open access
Semantic Scholar
Offline and online data assimilation for real-time blood glucose forecasting in type 2 diabetes
M. Levine, G. Hripcsak, L. Mamykina, A. Stuart +1 more
20178 citations
Semantic Scholar
Alcoholic typology and season of birth.
M. Levine, B. Wójcik
1999Journal of Addictive Diseases8 citations
Semantic Scholar
Interpretable physiological forecasting in the ICU using constrained data assimilation and electronic health record data
D. Albers, M. Sirlanci, M. Levine, J. Claassen +2 more
2023Journal of Biomedical Informatics6 citations Open access
Semantic Scholar
Real-Time Electronic Health Record Mortality Prediction During the COVID-19 Pandemic: A Prospective Cohort Study
P. Sottile, David J. Albers, Peter E. Dewitt, Seth Russell +10 more
2021medRxiv6 citations Open access
Semantic Scholar
Learning Absorption Rates in Glucose-Insulin Dynamics from Meal Covariates
K. Wang, M. Levine, Jia-Xin Shi, Emily B. Fox
2023arXiv.org4 citations Open access
Semantic Scholar
From Personal Informatics to Personal Analytics: Investigating How Clinicians and Patients Reason About Personal Data Generated with Self-Monitoring in Diabetes
L. Mamykina, M. Levine, P. G. Davidson, A. Smaldone +2 more
20174 citations
Semantic Scholar
Interpretable Forecasting of Physiology in the ICU Using Constrained Data Assimilation and Electronic Health Record Data
D. Albers, M. Sirlanci, M. Levine, J. Claassen +2 more
20232 citations
Semantic Scholar
Using Data Assimilation of Mechanistic Models to Estimate Glucose and Insulin Metabolism
J. J. Mulgrave, M. Levine, D. Albers, Joon Ha +2 more
20202 citations
Semantic Scholar
Behavioral-clinical phenotyping with type 2 diabetes self-monitoring data
M. Levine, D. Albers, Marissa Burgermaster, P. G. Davidson +2 more
20182 citations
Semantic Scholar
Machine Learning and Data Assimilation for Blending Incomplete Models and Noisy Data
M. Levine
20231 citations
Semantic Scholar
Correction: Personalized glucose forecasting for type 2 diabetes using data assimilation
D. Albers, M. Levine, B. Gluckman, H. Ginsberg +2 more
2021PLoS Comput. Biol.1 citations Open access
Semantic Scholar
Personalized medicine beyond genetics: using personalized model-based forecasting to help type 2 diabetics understand and predict their post-meal glucose
D. Albers, M. Levine, B. Gluckman, G. Hripcsak +1 more
2015American Medical Informatics Association Annual Symposium1 citations
Semantic Scholar
Resolving parameter uncertainty in SIR models through population-level serological surveillance: A synthetic study
Binod Pant, M. Levine, A. Nande, R. G. Garcia +3 more
2026Infectious Disease Modelling0 citations Open access
Semantic Scholar
Resolving Parameter Uncertainty in Outbreak Models Through Population-Level Serological Surveillance
B. Pant, M. Levine, A. Nande, R. G. Garcia +3 more
2025medRxiv0 citations Open access
Semantic Scholar
Lessons learned from assimilating knowledge into machine learning to forecast and control glucose in a critical care setting
D. Albers, Melike Sirlanci Tuysuzoglu, M. Levine, Caroline Der Nigoghossian +4 more
2020American Medical Informatics Association Annual Symposium0 citations
Semantic Scholar
Feasibility of a machine learning based method to generate personalized nutrition goals for diabetes self-management
Elliot G. Mitchell, Marissa Burgermaster, Elizabeth M. Heitkemper, M. Levine +5 more
2019American Medical Informatics Association Annual Symposium0 citations
Semantic Scholar
Machine learning for personalized decision support with patient-generated health data
Elliot G. Mitchell, L. Mamykina, M. Levine, E. Tabak +1 more
2019American Medical Informatics Association Annual Symposium0 citations
Semantic Scholar
Mechanistic machine learning: how data assimilation leverages physiologic knowledge using Bayesian inference to forecast the future, infer the present, and phenotype
D. Albers, M. Levine, Andrew M. Stuart, L. Mamykina +2 more
20180 citations
Semantic Scholar
An Intelligent Voice Assistant for Diabetes Self-Management: T2D2 - Taming Type 2 Diabetes, Together
Elliot G. Mitchell, Marissa Burgermaster, Elizabeth M. Heitkemper, M. Reading +4 more
2018American Medical Informatics Association Annual Symposium0 citations
Semantic Scholar
Using mechanistic machine learning to forecast glucose and infer physiologic phenotypes in the ICU: what is possible and what are the challenges
D. Albers, M. Levine, A. Stuart, J. Claassen +2 more
2018American Medical Informatics Association Annual Symposium0 citations
Semantic Scholar
Why predicting postprandial glucose using self-monitoring data is difficult
D. Albers, M. Levine, A. Stuart, B. Gluckman +1 more
2017American Medical Informatics Association Annual Symposium0 citations
Semantic Scholar
Development of a Decision Support System to Generate Data-Powered Personalized Nutrition Recommendations for Diabetes Self-Management
Marissa Burgermaster, Daniel J. Feller, Jung H. Son, M. Levine +4 more
20170 citations
Semantic Scholar
Reflecting on Diabetes Self-Management Logs with Simulated, Continuous Blood Glucose Curves: A Pilot Study
Elliot G. Mitchell, M. Levine, D. Albers, L. Mamykina
2017American Medical Informatics Association Annual Symposium0 citations
Semantic Scholar
Comparing lagged linear methods for uncovering associations in EHR data
M. Levine, D. Albers, G. Hripcsak
20160 citations
Semantic Scholar
Using data assimilation to forecast post-meal glucose for patients with type 2 diabetes
D. Albers, M. Levine, A. Stuart, G. Hripcsak +1 more
2016American Medical Informatics Association Annual Symposium0 citations
Semantic Scholar

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