Structured Bayesian Compression for Deep Models in Mobile-Enabled Devices for Connected Healthcare
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DOI: 10.1109/mnet.001.1900204
Abstract: Deep models, typically deep neural networks, have millions of parameters, analyze medical data accurately, yet in a time-consuming method. However, energy cost effectiveness and computational efficiency are important for prerequisites developing and deploying mobile-enabled devices,… read more here.
Keywords: connected healthcare; mobile enabled; compression; deep models ... See more keywords
Totally Connected Healthcare with TV White Spaces
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DOI: 10.3233/978-1-61499-781-8-68
Abstract: Recent technological advances in electronics, wireless communications and low cost medical sensors generated a plethora of Wearable Medical Devices (WMDs), which are capable of generating considerably large amounts of new, unstructured real-time data. This contribution… read more here.
Keywords: system; white spaces; connected healthcare; healthcare white ... See more keywords
“Nomen Omen”: Exploring Connected Healthcare through the Perspective of Name Omen
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DOI: 10.3390/healthcare8010066
Abstract: Background: The evolution of names, from “medical informatics” to “connected health”, implies that the evolvement of technology in health care has been shifted from technology-oriented to healthcare-oriented implementation. Connected healthcare, a healthcare platform of remote… read more here.
Keywords: connected health; technology; health; connected healthcare ... See more keywords