Internet-of-Things Enabled Smart Health Monitoring System Using AutoAI: A Graphical Tool of IBM Watson Studio

The use of internet-of-things (IoT) enabled smart health monitoring system to improve healthcare service quality has become inescapable due to the industry's growing data volume. Although big data processing technologies and platforms have been included into preventing emergencies. An IoT-enabled architecture is proposed to produce real-time warnings for healthcare systems. This proposed method is including IBM Watson studio and AutoAI services to produce a real-time warning and precise predictions of patient health. People’s health awareness has effectively increased along with the current socioeconomic level, and self-personal health management is receiving an increasing amount of attention. Personal health management systems usage can produce the best outcomes in health management and, as a result, improve the protection of people's health. The personal health management system is examined and explored using IoT and big data technology so that its features can be more effectively utilized. It primarily implements administrator and user functions while also achieving the functionalities of accessing epidemic-related data and maintaining personal health information. Viewing epidemic information on a mobile device is convenient and easy for people who are managing their health. Experiments show that the system is highly practicable, highly secure, highly scalable, and has good maintainability.