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Marissa Burgermaster
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Journal Articles
- 2023
- [j6]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
:
Who needs what (features) when? Personalizing engagement with data-driven self-management to improve health equity. J. Biomed. Informatics 144: 104419 (2023) - 2020
- [j5]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:
A new approach to integrating patient-generated data with expert knowledge for personalized goal setting: A pilot study. Int. J. Medical Informatics 139: 104158 (2020) - [j4]Meghan Reading Turchioe
, Marissa Burgermaster, Elliot G. Mitchell, Pooja M. Desai, Lena Mamykina
:
Adapting the stage-based model of personal informatics for low-resource communities in the context of type 2 diabetes. J. Biomed. Informatics 110: 103572 (2020) - 2019
- [j3]Meghan Reading Turchioe
, Elizabeth M. Heitkemper
, Maichou Lor, Marissa Burgermaster, Lena Mamykina:
Designing for engagement with self-monitoring: A user-centered approach with low-income, Latino adults with Type 2 Diabetes. Int. J. Medical Informatics 130 (2019) - 2018
- [j2]Michelle M. Chau, Marissa Burgermaster
, Lena Mamykina
:
The use of social media in nutrition interventions for adolescents and young adults - A systematic review. Int. J. Medical Informatics 120: 77-91 (2018) - [j1]Daniel J. Feller
, Marissa Burgermaster, Matthew E. Levine, Arlene M. Smaldone, Patricia G. Davidson, David J. Albers, Lena Mamykina:
A visual analytics approach for pattern-recognition in patient-generated data. J. Am. Medical Informatics Assoc. 25(10): 1366-1374 (2018)
Conference and Workshop Papers
- 2022
- [c6]Marissa Burgermaster, Madalyn Rosenthal, William M. Tierney, Brandon Altillo, Eric Nordquist, Christina Enriquez, Steven Andrews, Caroline Klatt, Grant Daniels:
Nutri: A Behavioral Science-Based Clinical Decision Support System for Chronic Disease Management. AMIA 2022 - 2021
- [c5]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:
From Reflection to Action: Combining Machine Learning with Expert Knowledge for Nutrition Goal Recommendations. CHI 2021: 206:1-206:17 - 2019
- [c4]Elliot G. Mitchell, Marissa Burgermaster, Elizabeth M. Heitkemper, Matthew E. Levine, Yishen Miao, Esteban G. Tabak, Arlene M. Smaldone, David J. Albers, Lena Mamykina:
Feasibility of a machine learning based method to generate personalized nutrition goals for diabetes self-management. AMIA 2019 - 2018
- [c3]Elliot G. Mitchell, Marissa Burgermaster, Elizabeth M. Heitkemper, Meghan J. Reading, Matthew E. Levine, Yishen Miao, Pooja M. Desai, Lena Mamykina:
An Intelligent Voice Assistant for Diabetes Self-Management: T2D2 - Taming Type 2 Diabetes, Together. AMIA 2018 - 2017
- [c2]Daniel J. Feller, Marissa Burgermaster, Lena Mamykina:
Using Visual Analytics and Patient-Generated Data to Support Clinical Decision-Making in the Context of Nutritional Therapy for Individuals with Diabetes. AMIA 2017 - [c1]Marissa Burgermaster, Krzysztof Z. Gajos, Patricia G. Davidson, Lena Mamykina:
The Role of Explanations in Casual Observational Learning about Nutrition. CHI 2017: 4097-4145
Coauthor Index
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