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Matthew E. Levine

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

16

Venues

3

Active years

2015–2025

Best venue rank

A*

Where they publish

Papers

16 indexed papers, newest first.

YearVenueTitleAuthors
2025CHIT2 Coach: A Qualitative Study of an Automated Health Coach for Diabetes Self-Management.Elliot G. Mitchell, Pooja M. Desai, Arlene M. Smaldone, Andrea Cassells, Jonathan N. Tobin, David J. Albers, Matthew E. Levine, Lena Mamykina
2024ICMLHybrid2 Neural ODE Causal Modeling and an Application to Glycemic Response.Bob Junyi Zou, Matthew E. Levine, Dessi P. Zaharieva, Ramesh Johari, Emily B. Fox
2021CHIScaling Up HCI Research: from Clinical Trials to Deployment in the Wild.Lena Mamykina, Arlene M. Smaldone, Suzanne R. Bakken, Noemie Elhadad, Elliot G. Mitchell, Pooja M. Desai, Matthew E. Levine, Jonathan N. Tobin, Andrea Cassells, Patricia G. Davidson, David J. Albers, George Hripcsak
2021CHIFrom Reflection to Action: Combining Machine Learning with Expert Knowledge for Nutrition Goal Recommendations.Elliot G. Mitchell, Elizabeth M. Heitkemper, Marissa Burgermaster, Matthew E. Levine, Yishen Miao, Maria L. Hwang, Pooja M. Desai, Andrea Cassells, Jonathan N. Tobin, Esteban G. Tabak, David J. Albers, Arlene M. Smaldone, Lena Mamykina
2020AMIALessons learned from assimilating knowledge into machine learning to forecast and control glucose in a critical care setting.David J. Albers, Melike Sirlanci Tuysuzoglu, Matthew E. Levine, Caroline Der Nigoghossian, Andrew M. Stuart, Jan Claassen, Bruce J. Gluckman, George Hripcsak
2019AMIAFeasibility of a machine learning based method to generate personalized nutrition goals for diabetes self-management.Elliot G. Mitchell, Marissa Burgermaster, Elizabeth M. Heitkemper, Matthew E. Levine, Yishen Miao, Esteban G. Tabak, Arlene M. Smaldone, David J. Albers, Lena Mamykina
2019AMIAMachine learning for personalized decision support with patient-generated health data.Elliot G. Mitchell, Lena Mamykina, Matthew E. Levine, Esteban G. Tabak, David J. Albers
2019CHIPersonal Health Oracle: Explorations of Personalized Predictions in Diabetes Self-Management.Pooja M. Desai, Elliot G. Mitchell, Maria L. Hwang, Matthew E. Levine, David J. Albers, Lena Mamykina
2018AMIAUsing mechanistic machine learning to forecast glucose and infer physiologic phenotypes in the ICU: what is possible and what are the challenges.David J. Albers, Matthew E. Levine, Andrew M. Stuart, Jan Claassen, Bruce J. Gluckman, George Hripcsak
2018AMIAAn Intelligent Voice Assistant for Diabetes Self-Management: T2D2 - Taming Type 2 Diabetes, Together.Elliot G. Mitchell, Marissa Burgermaster, Elizabeth M. Heitkemper, Meghan J. Reading, Matthew E. Levine, Yishen Miao, Pooja M. Desai, Lena Mamykina
2018CHIPictures Worth a Thousand Words: Reflections on Visualizing Personal Blood Glucose Forecasts for Individuals with Type 2 Diabetes.Pooja M. Desai, Matthew E. Levine, David J. Albers, Lena Mamykina
2017AMIAWhy predicting postprandial glucose using self-monitoring data is difficult.David J. Albers, Matthew E. Levine, Andrew M. Stuart, Bruce J. Gluckman, George Hripcsak
2017AMIAReflecting on Diabetes Self-Management Logs with Simulated, Continuous Blood Glucose Curves: A Pilot Study.Elliot G. Mitchell, Matthew E. Levine, David J. Albers, Lena Mamykina
2016AMIAUsing data assimilation to forecast post-meal glucose for patients with type 2 diabetes.David J. Albers, Matthew E. Levine, Andrew M. Stuart, George Hripcsak, Lena Mamykina
2016AMIAComparing Lagged Linear Correlation, Lagged Regression, Granger Causality, and Vector Autoregression for Uncovering Associations in EHR Data.Matthew E. Levine, David J. Albers, George Hripcsak
2015AMIAPersonalized medicine beyond genetics: using personalized model-based forecasting to help type 2 diabetics understand and predict their post-meal glucose.David J. Albers, Matthew E. Levine, Bruce J. Gluckman, George Hripcsak, Lena Mamykina