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Joyce M. Lee
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2020 – today
- 2024
- [j7]Harry Rubin-Falcone
, Joyce M. Lee
Learning control-ready forecasters for Blood Glucose Management. Comput. Biol. Medicine 180: 108995 (2024) - [j6]Till Scholich
Augmenting clinicians' analytical workflow through task-based integration of data visualizations and algorithmic insights: a user-centered design study. J. Am. Medical Informatics Assoc. 31(11): 2455-2473 (2024) - [j5]Jung Min Lee
Shortcomings in the Evaluation of Blood Glucose Forecasting. IEEE Trans. Biomed. Eng. 71(12): 3424-3431 (2024) - [c9]Yoon Jeong Cha
Shared Responsibility in Collaborative Tracking for Children with Type 1 Diabetes and their Parents. CHI 2024: 137:1-137:20 - 2023
- [c8]Harry Rubin-Falcone, Joyce M. Lee, Jenna Wiens:
Forecasting with Sparse but Informative Variables: A Case Study in Predicting Blood Glucose. AAAI 2023: 9650-9657 - [c7]Shriti Raj
"It can bring you in the right direction": Episode-Driven Data Narratives to Help Patients Navigate Multidimensional Diabetes Data to Make Care Decisions. CHI 2023: 470:1-470:16 - [c6]Yoon Jeong Cha
It's Like an Educated Guessing Game: Parents' Strategies for Collaborative Diabetes Management with Their Children. CHI 2023: 471:1-471:15 - [c5]Harry Rubin-Falcone, Joyce M. Lee, Jenna Wiens:
Denoising Autoencoders for Learning from Noisy Patient-Reported Data. CHIL 2023: 393-409 - [i2]Harry Rubin-Falcone, Joyce M. Lee, Jenna Wiens:
Forecasting with Sparse but Informative Variables: A Case Study in Predicting Blood Glucose. CoRR abs/2304.08593 (2023) - 2022
- [c4]Yoon Jeong Cha
Transitioning Toward Independence: Enhancing Collaborative Self-Management of Children with Type 1 Diabetes. CHI 2022: 522:1-522:17 - 2020
- [c3]Ian Fox, Joyce M. Lee, Rodica Pop-Busui, Jenna Wiens:
Deep Reinforcement Learning for Closed-Loop Blood Glucose Control. MLHC 2020: 508-536 - [i1]Ian Fox, Joyce M. Lee, Rodica Pop-Busui, Jenna Wiens:
Deep Reinforcement Learning for Closed-Loop Blood Glucose Control. CoRR abs/2009.09051 (2020)
2010 – 2019
- 2019
- [j4]Shriti Raj, Joyce M. Lee, Ashley Garrity, Mark W. Newman:
Clinical Data in Context: Towards Sensemaking Tools for Interpreting Personal Health Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(1): 22:1-22:20 (2019) - [c2]Shriti Raj, Kelsey Toporski, Ashley Garrity, Joyce M. Lee, Mark W. Newman
"My blood sugar is higher on the weekends": Finding a Role for Context and Context-Awareness in the Design of Health Self-Management Technology. CHI 2019: 119 - 2018
- [j3]Elizabeth Kaziunas, Silvia Lindtner, Mark S. Ackerman, Joyce M. Lee:
Lived Data: Tinkering With Bodies, Code, and Care Work. Hum. Comput. Interact. 33(1): 49-92 (2018) - [j2]Sarah E. Vaala, Joyce M. Lee, Korey K. Hood, Shelagh A. Mulvaney
Sharing and helping: predictors of adolescents' willingness to share diabetes personal health information with peers. J. Am. Medical Informatics Assoc. 25(2): 135-141 (2018) - 2017
- [j1]Shriti Raj, Mark W. Newman
Understanding Individual and Collaborative Problem-Solving with Patient-Generated Data: Challenges and Opportunities. Proc. ACM Hum. Comput. Interact. 1(CSCW): 88:1-88:18 (2017) - [c1]Elizabeth Kaziunas, Mark S. Ackerman, Silvia Lindtner, Joyce M. Lee:
Caring through Data: Attending to the Social and Emotional Experiences of Health Datafication. CSCW 2017: 2260-2272
Coauthor Index
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