Lena Mamykina, Ph.D.
Affiliations: | 2009 | Georgia Institute of Technology, Atlanta, GA |
Area:
Computer ScienceGoogle:
"Lena Mamykina"Parents
Sign in to add mentor| Elizabeth Mynatt | grad student | 2009 | Georgia Tech | |
| (Designing ubiquitous computing for reflection and learning in diabetes management.) | ||||
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Publications
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| Burgermaster M, Desai PM, Heitkemper EM, et al. (2023) Who Needs What (Features) When? Personalizing Engagement with Data-Driven Self-Management to Improve Health Equity. Journal of Biomedical Informatics. 104419 |
| Mitchell EG, Elhadad N, Mamykina L. (2022) Examining AI Methods for Micro-Coaching Dialogs. Proceedings of the Sigchi Conference On Human Factors in Computing Systems. Chi Conference. 2022 |
| Kocaballi AB, Sezgin E, Clark L, et al. (2022) Design and Evaluation Challenges of Conversational Agents in Health Care and Well-being: Selective Review Study. Journal of Medical Internet Research. 24: e38525 |
| Mitchell EG, Maimone R, Cassells A, et al. (2021) Automated vs. Human Health Coaching: Exploring Participant and Practitioner Experiences. Proceedings of the Acm On Human-Computer Interaction. 5 |
| Mitchell EG, Heitkemper EM, Burgermaster M, et al. (2021) From Reflection to Action: Combining Machine Learning with Expert Knowledge for Nutrition Goal Recommendations. Proceedings of the Sigchi Conference On Human Factors in Computing Systems. Chi Conference. 2021 |
| Reading Turchioe M, Burgermaster M, Mitchell EG, et al. (2020) Adapting the stage-based model of personal informatics for low-resource communities in the context of type 2 diabetes. Journal of Biomedical Informatics. 103572 |
| Burgermaster M, Son JH, Davidson PG, et al. (2020) A new approach to integrating patient-generated data with expert knowledge for personalized goal setting: A pilot study. International Journal of Medical Informatics. 139: 104158 |
| Feller DJ, Lor M, Zucker J, et al. (2020) An investigation of the information technology needs associated with delivering chronic disease care to large clinical populations. International Journal of Medical Informatics. 137: 104099 |
| Turchioe MR, Heitkemper EM, Lor M, et al. (2019) Designing for engagement with self-monitoring: A user-centered approach with low-income, Latino adults with Type 2 Diabetes. International Journal of Medical Informatics. 130: 103941 |
| Woldaregay AZ, Årsand E, Walderhaug S, et al. (2019) Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes. Artificial Intelligence in Medicine |