IoT in Healthcare: Using Cloud Computing and Natural Language Processing for a Superior Approach

Abstract

AbstractOne of the popular articulations in the information technology is the Internet of Things (IoT). The IoT plans to unite everything in our world under an average establishment, giving us control of things around us, yet furthermore keeping us taught in regard to the state of the things. This process needs a large amount of data to feed into the IoT devices; also to represent the intelligence of the IoT devices in a readable format, added equipment is required. Technology has been evolving, and there is a solution for every problem. The IoT in healthcare is a primary application space, which draws gigantic interest from the industry, research organization, and public sectors. The improvement of the IoT and cloud computing is working on tolerant security, staff satisfaction, and functional adequacy in the clinical business. Cloud computing is a savior for the issue of handling large data that is associated with processing reality with the IoT devices. Cloud computing is transforming information technology. It takes care of various issues of customary processing, including top burdens, introducing programming updates, and using vast prediction stages. In this context, it is important to segregate the data based on its significance, which needs the technology of natural language processing to process data. This research paper discusses on how natural language processing can help the IoT along with cloud computing that aids for data storage.KeywordsInternet of Things (IoT)HealthcareNatural language processing