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Over the past decade, the application of data science techniques to clinical data has allowed practitioners and researchers to develop a sundry of analytical models. These models have traditionally relied on structured data drawn from Electronic Medical Records (EMR). Yet, a large portion of EMR data remains unstructured, primarily held within clinical notes. While recent work has produced techniques...
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...
Aging well consists of the following components: management of chronic conditions, maintenance of physical health and cognitive health, and active social engagement. However, the increasing life expectancy, rising healthcare costs, increasing number of older adults, and decreasing number of care providers pose challenges to the maintenance of different components for aging well. To that end, technological...
“Successful aging” or aging well is a very complex process. This process is usually defined as having the following components: managing chronic conditions, maintaining physical and mental health, social engagement. There exist many solutions in isolation for these individual components that assist in aging well. However, while these components in isolation can work, we believe that the real strength...
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