A Digital Health based Personalized Chronic Disease Risk Assessment and Mitigation Platform for Citizen's Lifetime Health

Abstract

Chronic diseases are the leading cause of death worldwide. Early risk assessment, monitoring and mitigation at the individual level can significantly prevent the onset of most chronic diseases. Lifetime health is an emerging paradigm that aims to empower individuals to avoid harmful lifecycle choices to mitigate the risk of chronic diseases. In this thesis, we present a digital health platform to empower citizens to self-asses and self-monitor their risk for multiple chronic diseases. We identified interrelationships between risk factors and chronic diseases, and modelled them in terms of a knowledge model that is used to determine the influence of multiple risk factors on the onset of different chronic diseases. We digitized risk assessment tools for 11 chronic diseases, utilized data analytics and health visualization techniques to turn personal health data into meaningful and actionable risk scores. We designed a cross-sectional study to evaluate citizens’ behavioural intentions towards using the platform.