Abstract
Smart devices, such as tablets and phones, are revolutionizing access to healthcare services. They are bringing forth the mHealth and eHealth revolution, and are aiming to empower the consumers to make a difference to their health and wellbeing by connecting data to personalized analytics to timely insights. However, this consumer-centric journey for smart and connected health is presenting challenges and opportunities for big data analytics research, whether in integrating and developing machine learning algorithms for heterogeneous and longitudinal data or developing novel systems or applications or developing new user experience frameworks, and doing all this while ensuring privacy and security of user data.
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