| 2017 | AMIA | Visualizing Social Support Mechanisms in English and Spanish Tweets to Meet Self-Management Needs of Family Dementia Caregivers. | Sunmoo Yoon, Niurka M. Suero-Tejeda, Robert J. Lucero, Suzanne Bakken |
| 2016 | AMIA | Visualization of Patient-reported Outcomes. | Kenrick Cato, Adriana Arcia, Ruth M. Masterson Creber, Yalini Senathirajah, Sunmoo Yoon |
| 2016 | AMIA | Visualization of Topics from Twitter and Focus Groups as the Foundation for Insights about Dementia Caregiving. | Sunmoo Yoon, Niurka Suero-Tejeda, Blake Hunter, Suzanne Bakken |
| 2015 | AMIA | Predicting Autonomy for Physical Activity using Data Mining Techniques. | Sunmoo Yoon, Niurka Suero-Tejeda, Suzanne Bakken |
| 2014 | AMIA | Application of Data Mining Techniques to Predict Physical Activity. | Sunmoo Yoon, Suzanne Bakken |
| 2013 | AMIA | Method for the Development of Data Visualizations for Community Members with Varying Levels of Health Literacy. | Adriana Arcia, Michael E. Bales, William Brown III, Manuel Co Jr., Melinda Gilmore, Young Ji Lee, Chin S. Park, Jennifer E. Prey, Mark Velez, Janet Woollen, Sunmoo Yoon, Rita Kukafka, Jacqueline Merrill, Suzanne Bakken |
| 2013 | AMIA | Analysis of Motivational Concepts in Tweets Related to Jogging. | Sunmoo Yoon, Jonathan Shaffer, Jessica Lynn Momberg, Suzanne Bakken |
| 2012 | AMIA | Application of Data Mining Techniques to a Behavioral Risk Factor Data Set to Predict Long-Term Disability after Stroke. | Sunmoo Yoon, Jose Gutierrez, Adam B. Wilcox, Suzanne Bakken |