Machine Learning-enabled Wireless Technologies for Medical Applications: Gradient Boosting for Revolutionizing Healthcare

The rising prevalence of modern health issues, including heart failure, lung disease, and other heart-related illnesses, underscores the critical need for continuous health monitoring.The advent of wireless patient health monitoring systems marks a significant leap forward in the medical field, harnessing the power of cutting-edge technologies such as wireless communications, wearable devices, and portable remote health monitoring systems.These innovations have paved the way for a smart, cost-effective solution that not only simplifies daily life for individuals managing chronic conditions but also reduces the necessity for frequent in-person medical visits.By enabling patients to access their health records online from anywhere, these systems enhance the efficiency and effectiveness of healthcare delivery.Significant strides have been made in the development of medical information systems, particularly through the integration of Internet of Things (IoT) technologies in healthcare.The future of IoT-based healthcare systems hinges on prioritizing patient safety, improving quality of life, and enhancing the overall healthcare experience.This paper delves into the complexities of patient and healthcare provider activity tracking, tracing, and monitoring, highlighting the substantial progress made and the challenges that lie ahead.