The Tracking System for E-Healthcare Employs IoT and Machine Learning Techniques

Today's unhealthy lifestyles are a result of a number of issues, including irregular eating patterns, a diet low in nutrition, environmental pollution, improper exercise, long hours at the office, raised stress levels along with restlessness, which are the cause of one's ill-health. Worldwide a maximum of 40% of youths, professional women and persons in their midlife suffer from an unhealthy lifestyle. In the medical sector, significant developments have been made by IoT, which is relatively a new technology that has seen significant advancements in the fields of medicine and health. Using new cutting-edge tools and resources IoT wearable devices are able to address new problems. The health status of in and out patients can be regularly and periodically checked using wearable medical equipment. In order to create an advanced automation system, this paper proposes an Internet of Things (IoT) architecture called the E-Healthcare Tracking System (EHTS) that has been implemented using machine learning (ML) methods. This system will allow for connections, monitoring, and decision-making for accurate diagnosis.