At present, there is a constant migration of people is encountered in urban regions. Health care services are considered as a confronting challenging factors, there is an extremely influenced by huge arrival of people to city centre. Subsequently, places all around the world are spending in digital evolution in an attempt to offer healthy eco-system for huge people. With this transformation, enormous homes are equipped with smarter devices (for example, sensors, smart sensors and so on) which produce huge amount of indexical data and fine-grained that is examined to assist smart city services. In this work, a model has been anticipated to utilize smart home big data analysis as a discovering and learning human activity patterns for huge health care applications. This work describes and highlights the experimentation with the analysis of vigorous data analysis process that assists healthcare analytics. This procedure comprises of subsequent stages: understanding, collection, cleaning, validation, enrichment, integration and storage. It has been resourcefully utilized to processing of data types variety comprising clinical data from EHR.
Smart health care opportunities and challenges, by using sustainable efficiency big data analysis
