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This paper includes combination of massive medical data with heterogeneous medical data underneath of semantic interoperability framework. Handling of medical records using graphical user interfaces, adaptive, contextual, intuitive and adequate interaction. With new security policy and privacy security, secure health information management environment service for medical section to ensure the potential task improvements. In the paper focus of transformation of hospital based centric medical treatment to home based centric base. Authors concern about smart device of illome in Health-IoT. Devel-oiled .Bio-Patch, iMedPack and iMedBox main concern components of the system. Authors use SM-IoT Platform with several layers of main components. 4 Layer with application, data processing; network and physical are main layers. As applications mobile /desktop multi-platform API, personalized user interface, multi-functional services Authors used.
 
For data processing, combination of data integration, semantic data annotation, data classification and data collections used effectively as mentioned. For the data analysis, SPARK Module, data Privacy are the two methods used. Those data interoperability and data analysis stored in private data Storage. Wearable devices under IoT devices and Non-IoT devices (intelligence devices) and HER (Health Emergency Records), medical DB records are transferring via gateway connection through data interoperability module to store in private Data storage. Within the Semantic annotation model, MetaMap with Medical entity Recognition entity plays a main role on the semantic annotation model. The output of the model is Semantic data interpretation file. Authors discuss the Intelligent emergency situations detection service as well with IoT devices. 

Some time the data mislead to different diagnose, when we not train database well. Remote monitoring is except but data loses will be an issue. Need to have a prevention and detection process as well. Data privacy and data storage also a problem in serous manner. Cloud security need to be in high level. Or could be use private storage with VPN to store data. If the spark data processing module goes down the whole system will collapse according to the architecture. But the other way round need to have a backup system to recover the stable process. Integration of the social media is totally arguable; because of the data security goes vulnerable. Giving the data for the research purpose base is not an issue. 

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Select a topic from Module 1 of the unit. From Module 2, choose some key concepts or ideas from the frames of ‘identity’ and ‘economy’ to help guide your analysis of how digital culture has, or has not signficantly, shaped everyday life in the area you are researching and writing about. Ther ...

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