Abstract
Patient behavioral analysis is a critical component in treating patients with a variety of issues, with head trauma, neurological disease, and mental illness. The analysis of the patient's behavior aids in establishing the disease's core cause. Patient behavioral analysis has a number of contests that are much more problematic in traditional healthcare. With the advancement of smart healthcare, patient behavior may be simply analyzed. A new generation of information technologies, particularly the Internet of Things (IoT), is being utilized to transform the traditional healthcare system in a variety of ways. The Internet of Things (IoT) in healthcare is a crucial role in offering improved medical facilities to people as well as assisting doctors and hospitals. The proposed system comprises of a variety of medical equipment, such as mobile-based apps and sensors, which is useful in collecting and monitoring the medical information and health data of patient and interact to the doctor via network connected devices. This research may provide key information on the impact of smart healthcare and the Internet of Things in patient beavior and treatment. Patient data are exchanged via the Internet, where it is viewed and analyzed using machine learning algorithms. The deep belief neural network evaluates the patient's particulars from health data in order to determine the patient's exact health state. The developed system proved the average error rate of about 0.04 and ensured accuracy about 99% in analyzing the patient behavior.
Highlights
Traditional biotechnology and medicine may become digital and become more informed thanks to technological advancements and increasing expansion. e combination of smart healthcare has resulted in the emergence of new information technology. e smart health-care system is a multilevel transformation. e patient behavior is analyzed by making Journal of Healthcare Engineering changes in smart healthcare system including a shift from disease-centered to patient-centered treatment, a shift in management and prevention concepts, and a shift in information creation from regional to clinical informatization [2, 7, 8]
Conclusion is paper concludes that the Internet of ings has the potential to play a critical role in the advancement of smart healthcare. e Internet of ings improves the flexibility of the healthcare system
Smart healthcare systems as related to traditional healthcare can minimize staff pressure, lower expenses, and enhance the patient’s medical practice
Summary
Health provides an improvement in quality of life by using smart healthcare application like diagnosis and treatment of disease, smart pills, remote patient monitoring, biosensors, emergency healthcare, robotics, and healthcare facilities in 24/7/365 [1–6]. E IoT utilization in healthcare industry has increased common hope between patients and service providers, as well as the effectiveness of treatment plans [7]. Simultaneous reporting and monitoring, cost, end-to-end connection, remote medical aid, data analysis, tracking, and alert were all advantages of IoT sensor-based healthcare services. A mobile health app was developed that uses IoT sensors to forecast sickness in the healthcare industry During this procedure, the UCI repository dataset was acquired via a mobile application. E use of an IoT device-based examination method decreased the challenges of the clinical examination process and aided in making an informed conclusion When it came to identifying cardiovascular illness using IoT sensor data, the developed system had an accuracy of 88.7% [13]. Doctors can consult with patients via telehealth instead of visiting to a clinic or hospital. e behavior change is a practice which may help people improve their health by altering unhealthy behavior and adopting healthier lives
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