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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.
Andre Kushniruk
David Chio
Treatment Networks
Medicine
Information and communications technologies
University of Victoria
Accelerate
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