Author: Burgermaster Lab

Read the full publication here! Objectives: To expand on previous survey-based research that provided a basic understanding of dietitian perspectives on app use by exploring factors that are influencing dietitian decision-making regarding the use and recommendation of apps with individual clients. Methods: 20–60-minute semi-structured interviews conducted in-person, over the phone, or via videoconferencing from November…

Read the full paper on ACM Digital Library! |Abstract| Self-tracking can help personalize self-management interventions for chronic conditions like type 2 diabetes (T2D), but reflecting on personal data requires motivation and literacy. Machine learning (ML) methods can identify patterns, but a key challenge is making actionable suggestions based on personal health data. We introduce GlucoGoalie,…

Click here to read the full publication! |Abstract| Background: As the U.S. population grows older and more diverse, self-management needs are increasingly complicated. In order to deliver effective personalized interventions to those suffer from chronic conditions social determinants of health must be considered. Therefore, psychosocial phenotyping holds strong promise as a tool for tailoring interventions…