Self-tracking can enhance chronic condition management by personalizing interventions, but it requires motivation and health literacy.
Machine learning, while useful for pattern recognition, faces challenges in providing actionable health suggestions; GlucoGoalie attempts to bridge this gap by translating ML insights into personalized nutrition goals for type 2 diabetes (T2D) patients.
In studies, participants found the goal suggestions both understandable and actionable, but issues arose between abstract goals and real-life eating experiences, highlighting the need for more interactive and feedback-oriented systems in self-management interventions.