Chronic diseases are the leading cause of morbidity, disability and mortality worldwide. It is well established that the majority of chronic diseases can be prevented by targeting modifiable lifestyle-related risk factors. Thus, early risk assessment and mitigation at the individual level can significantly reduce the health and economic burden of chronic diseases. Lifetime health has emerged as a potential paradigm to assist individuals to avoid harmful lifestyle-related habits to reduce the risk of chronic morbidity. In this paper, we leverage eHealth and Quantified Self technologies, novel health data visualizations, and artificial intelligence methods to develop a digital-based lifetime health platform (PRISM) to empower individuals to self-assess, self-monitor, and self-manage their risks for multiple chronic diseases and associated morbidities.
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