Cloud Based Fuzzy Healthcare System

With the amelioration of sensor automation, big data analytics has become a new paradigm for large scale information processing. Real-time analytics are required for accessing and processing big data expeditiously. Large infected population and high health care costs along with the increased Information and communication technology, led to the development of the health monitoring systems. This paper aims towards the development of a novel cloud based health care system where the Wireless Body Area Networks aggregate the data to the personal server that encompasses STORM, the real-time computation system and the Fuzzy inference system. They are hosted on a private cloud, thereby ensure security and scalability. The stream analytics are performed on the obtained physiological data, where non-critical data are ousted and those critical data are stored and a notification is send to the physician or caregivers. Hence real time analytics along with the cloud assist to improvise the effectiveness of our healthcare system and quality of life through prompt medical assistance.