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)

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, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 5-9, 2022, 2022)

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 '21: CHI Conference on Human Factors in Computing Systems, Virtual Event / Yokohama, Japan, May 8-13, 2021, 2021)

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)

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)

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, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 16-20, 2019, 2019)

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)

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, American Medical Informatics Association Annual Symposium, San Francisco, CA, November 3-7, 2018, 2018)

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, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 4-8, 2017, 2017)

The Role of Explanations in Casual Observational Learning about Nutrition - Marissa Burgermaster; Krzysztof Z. Gajos; Patricia G. Davidson; Lena Mamykina (Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, Denver, CO, USA, May 06-11, 2017, 2017)