ABSTRACT
Recent developments in the Internet of Things (IoT) technology have produced extensive opportunities and innovations in the healthcare field. IoT-enabled healthcare has been a research domain that focuses on “the utilization of IoT-enabled methods and technologies to offer high-quality health services, including faster and safer preventive care, lower overall cost, improved patient-centered practice, and enhanced sustainability.” Specific attention in this domain has been directed to traditional IoT technological studies including sensing, networking and communication, data mining, and human–computer interaction and healthcare. Healthcare supervising 186administrators in the hospitals and other health center staffs have to confirm all through the enormous development of the wireless healthcare counseling equipments along with numerous electronics components have become to enormous significance in many nations throughout the world.
Modern advancements have been centralized on the above methods of particular wireless body area network and wearable node to encounter signals like body temperature, pulse rate, and blood pressure. Hence fore, wireless sensor network technology could be engaged in demanding settings to assemble patient vital parameters. The collected data are broad-casted wirelessly over the receiving station associated with a warehouse where the data are prepared hypothetically which contributes relevant to security as well as confidentiality about the patient data, in conjunction with the avoidance of illegal approach or use of patient data, in addition, to ensure reliable real-time patient monitoring. In this paper, secured health-care supervising system adopting a fuzzy logic-based decision platform which helps in resolving the Odontogenic tumors with you and your friend or loved one is proposed. Thus, an aggregation of fuzzy logic as well as protected flexible model is made use of in order to identify the status of the health of the patient taking into account of the neural network which is trained continuously as well as it has the capability to modify itself along with the changes in the input for which the desired output is assigned.
