Efficiency Improvement of IoT in Healthcare Using Embedded Fuzzy Technique

When defining the subject of the research in healthcare, the focus should be on rural and urban-rural communes cities. Internet of Things (IoT) has proven advantage in Health Care Applications ranging from body sensor networks, wearable sensors to physician analysis and diagnosis. These units have a public technical infrastructure as a part of their resources acting towards the benefit for the society. IoT in healthcare is useful for monitoring of patients, reducing costs and advance treatment outcome. Decision-making in healthcare is fuzzy in nature which enforces technology producers and researchers to employ Fuzzy Logic (FL) in smart healthcare devices. Triangular Fuzzy Numbers are used to prioritize IoT acceptance in healthcare. The present study focuses on efficiency improvement of IoT in Healthcare Using Embedded Fuzzy Technique.