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Recently, big data applications have been rapidly expanding into various industries. Healthcare is among those industries that are willing to use big data platforms, and as a result, some large data analytics tools have been adopted in this field. Medical imaging, which is a pillar in diagnostic healthcare, involves a high volume of data collection and processing. A massive number of 3D and 4D images...
The tracking of the activities of daily living (ADL) may have significant implications in healthcare because it would enable healthcare professionals to receive updates remotely regarding the functional status of post-injury and post-surgery patients, and people with disabilities and the elderly. If successful, technologies that enable ADL tracking could dramatically reduce the healthcare cost because...
The man-machine dialogue is too difficult to put in place but it remains an important issue for help people with speech problems. In this objective, we have oriented our work around a control interface including multiple communication tools: Videoconferencing between a doctor and patient thanks to a camera via Skype where a communication can be established and by which the doctor can make an initial...
Mobile health applications have been found to facilitate earlier and more effective intervention of both physical and mental illness. The applications offer unique opportunities for monitoring progress, providing education materials, receiving personalized prompts and support, collecting ecologically valid data, and using self-management interventions when and where they are needed. Mobile Health...
The healthcare system consists of large volumes of data which are usually generated from diverse sources such as physicians' case notes, hospital admission notes, discharge summaries, pharmacies, insurance companies, medical imaging, laboratories, sensor based devices, genomics, social media as well as articles in medical journals. Healthcare data are however very complex and difficult to manage....
Google's Dataset Publishing Language (DPSL) and Google's Public Data Explorer (GPDE) offer Institutions of Higher Education (IHE) powerful ways to analyze campus-wide assessments of learning outcomes that were formerly unavailable to staff, assessment coordinators, institutional researchers, and other stake holders. Current practices in institutional assessment are severely limited, but DPSL and GPDE...
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