Using Visual Analytics and Patient-Generated Data to Support Clinical Decision-Making in the Context of Nutritional Therapy for Individuals with Diabetes. - Daniel J. Feller; Marissa Burgermaster; Lena Mamykina (AMIA, 2017)

The Role of Explanations in Casual Observational Learning about Nutrition. - Marissa Burgermaster; Krzysztof Z. Gajos; Patricia G. Davidson; Lena Mamykina (CHI, 2017)

An 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 (AMIA, 2018)

The use of social media in nutrition interventions for adolescents and young adults - A systematic review. - Michelle M. Chau; Marissa Burgermaster; Lena Mamykina (Int. J. Medical Informatics, 2018)

A visual analytics approach for pattern-recognition in patient-generated data. - Daniel J. Feller; Marissa Burgermaster; Matthew E. Levine; Arlene M. Smaldone; Patricia G. Davidson; David J. Albers; Lena Mamykina (J. Am. Medical Informatics Assoc., 2018)

Feasibility 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 (AMIA, 2019)

Designing for engagement with self-monitoring: A user-centered approach with low-income, Latino adults with Type 2 Diabetes. - Meghan Reading Turchioe; Elizabeth M. Heitkemper; Maichou Lor; Marissa Burgermaster; Lena Mamykina (Int. J. Medical Informatics, 2019)

A new approach to integrating patient-generated data with expert knowledge for personalized goal setting: A pilot study. - Marissa Burgermaster; Jung Hoon Son; Patricia G. Davidson; Arlene M. Smaldone; Gilad Kuperman; Daniel J. Feller; Katherine Gardner Burt; Matthew E. Levine; David J. Albers; Chunhua Weng; Lena Mamykina (Int. J. Medical Informatics, 2020)

Adapting the stage-based model of personal informatics for low-resource communities in the context of type 2 diabetes. - Meghan Reading Turchioe; Marissa Burgermaster; Elliot G. Mitchell; Pooja M. Desai; Lena Mamykina (J. Biomed. Informatics, 2020)

From 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; et al. (CHI, 2021)

Nutri: A Behavioral Science-Based Clinical Decision Support System for Chronic Disease Management. - Marissa Burgermaster; Madalyn Rosenthal; William M. Tierney; Brandon Altillo; Eric Nordquist; Christina Enriquez; Steven Andrews; Caroline Klatt; Grant Daniels (AMIA, 2022)

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; Elliot G. Mitchell; Meghan Reading Turchioe; David J. Albers; Matthew E. Levine; Dagny Larson; Lena Mamykina (J. Biomed. Informatics, 2023)