HEALS Project 1 focuses on chronic disease prevention through data-driven discovery and analysis of factors that can help predict the propensity to develop chronic conditions, and provide personalized health recommendations and lifestyle guidance to users, with a focus on Personalized Search and Recommendation in Health. The main goal of the project is to help patients avoid chronic conditions (e.g., pre-diabetes, hypertension). It is our belief that:
- People are more likely to believe medical information if it can be “explained” and made “relevant” to their own circumstances.
- People engage if empowered to make decisions that will impact their personal health.
- Learning and Semantics based systems can help people to find the information most relevant to their own conditions; Develop plans for maintaining their health; Stay on track and/or improve their plans as conditions change.