Daily Health Guide: Decision support for fitness/weight management using Personal Health Records

We will build a prototype system that can be used to give a personalized recommendation for the ideal fitness/weight loss regimen for a consumer given their personal health record data. This will be based on building a relational probabilistic model that is based on standard medical ontologies, initially on expert knowledge, and can make predictions from personal health records. The system will be evaluated against experts in exercise physiology and metabolic endocrinology. This will be used as the basis for future systems that can learn the models from data, and so provide auditable best-practices recommendations.

Faculty Supervisor:

Andre Kushniruk

Student:

David Chio

Partner:

Treatment Networks

Discipline:

Medicine

Sector:

Information and communications technologies

University:

University of Victoria