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Deep Reinforcement Learning for Closed-Loop Blood Glucose Control.

, , , and . MLHC, volume 126 of Proceedings of Machine Learning Research, page 508-536. PMLR, (2020)

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Caring through Data: Attending to the Social and Emotional Experiences of Health Datafication., , , and . CSCW, page 2260-2272. ACM, (2017)"My blood sugar is higher on the weekends": Finding a Role for Context and Context-Awareness in the Design of Health Self-Management Technology., , , , and . CHI, page 119. ACM, (2019)Sharing and helping: predictors of adolescents' willingness to share diabetes personal health information with peers., , , and . J. Am. Medical Informatics Assoc., 25 (2): 135-141 (2018)Forecasting with Sparse but Informative Variables: A Case Study in Predicting Blood Glucose., , and . AAAI, page 9650-9657. AAAI Press, (2023)Lived Data: Tinkering With Bodies, Code, and Care Work., , , and . Hum. Comput. Interact., 33 (1): 49-92 (2018)Transitioning Toward Independence: Enhancing Collaborative Self-Management of Children with Type 1 Diabetes., , , , , and . CHI, page 522:1-522:17. ACM, (2022)"It can bring you in the right direction": Episode-Driven Data Narratives to Help Patients Navigate Multidimensional Diabetes Data to Make Care Decisions., , , , and . CHI, page 470:1-470:16. ACM, (2023)It's Like an Educated Guessing Game: Parents' Strategies for Collaborative Diabetes Management with Their Children., , , , , and . CHI, page 471:1-471:15. ACM, (2023)Deep Reinforcement Learning for Closed-Loop Blood Glucose Control., , , and . MLHC, volume 126 of Proceedings of Machine Learning Research, page 508-536. PMLR, (2020)Understanding Individual and Collaborative Problem-Solving with Patient-Generated Data: Challenges and Opportunities., , , and . Proc. ACM Hum. Comput. Interact., 1 (CSCW): 88:1-88:18 (2017)