INTEGRATING IOT AND NLP FOR SMART HEALTHCARE: REAL-TIME PATIENT MONITORING AND DIAGNOSIS

Abstract: The Internet of Things, or IoT, is all the rage these days; it links people's daily lives to small devices like sensors and offers smart applications. In order to analyze a patient's health in real time, smart healthcare applications need remote patient monitoring. Internet of Things (IoT) devices need high-power radio connection, including Fifth Generation (5G), for data transfer in order to provide real-time patient monitoring. The healthcare industry has been transformed by the growing engagement of 5G-enabled IoT technology, which has provided efficient and real-time monitoring and diagnosing capabilities. There are a number of issues that have come to light as a result of the widespread use of 5G-IoT in healthcare applications, a lack of energy-efficient resources; a lack of a standard framework for handling applications; and, most importantly, the potential for malicious data or the disclosure of sensitive medical information. This issue is addressed by proposing a four-module improved system structure. line of new products to improve the 5G-IoT smart healthcare application, the initial module suggests a system structure that gives the general technique. For efficient management of 5G-IoT applications, we outline the suggested smart healthcare system (SHS). It is possible to evaluate the system's efficiency with the use of an automated model called FLAML.

Keywords: Internet of Things, Healthcare, Patient, Monitoring, And Diagnosis.