Read the full paper on Science Direct! |Abstract| Background: Sixty-two percent of dietitians recommend nutrition apps to patients, with calorie-tracking apps the most popular. While previous …
P93 Precision Behavioral Nutrition: Development of the NutriPCP Inference Engine for Data-driven Diet Goals in Primary Care
Click here to read the full paper! Objective: To develop a computational system that uses dietary recall data to prioritize behavioral goals to facilitate efficient, personalized collaborative …
Optimal App Use by Dietitians Limited by Payment Structures, App Usability, and Lack of Dietitian Familiarity With Available Apps: A Qualitative Thematic Analysis
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 …
From Reflection to Action: Combining Machine Learning with Expert Knowledge for Nutrition Goal Recommendations
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 …
Psychosocial phenotyping as a personalization strategy for chronic disease self-management intervention
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 …