Digital Health and Artificial Intelligence based Platform for Early Chronic Disease Risk Assessment and Prediction to Improve Population Health

51.6% of Canadians over the age of 20 live with at least one chronic disease. This has led to a rise in multimorbidity, i.e. more than one diseases at the same time. Chronic disease patients cost the Canadian economy $190 billion/year, i.e. 67% of all direct healthcare costs. The available risk assessment tools do not inform the person about the multi-morbidity risk and do not provide the underlying risk factors contributing to the onset of a chronic disease. Given recent advances in digital health, consumer health technologies (wearable health devices and smart mobile devices) and Artificial Intelligence we now have real opportunities for proactive and personalized chronic disease risk assessment based on the combination and analysis of the individual's physiological and psychosocial profile. Our objective is to develop a digital health/e-health enabled Personalized Risk Investigation, Stratification and Mitigation (PRISM) platform, to allow (a) self-assessment of chronic disease risks based on integration of health data (b) Visualize the calculated risks via an interactive dashboard accessible via the web. To develop PRISM, we will (a) Develop a computerized model to model the interactions between risk factors, risks, diseases, multi-morbidity and mitigation interventions (b) Develop the PRISM interactive health dashboard using visual analytics technologies.