IoT and Machine Learning in Smart City Healthcare Systems

Abstract

The phrase “smart city” refers to a collection of ideas and technology aimed at making cities more effective, technologically sophisticated, environmentally friendly, and socially inclusive. Technical, economic, and social innovations are among these ideas. Since the 2000s, this phrase has been around by a variety of players in politics, commerce, administration, and urban planning to describe technological advances and advancements in cities. A response to the commercial, societal, and governmental issues which post-industrial nations are facing in the new era, the concept of smart city is employed is combined with the use of digital technology. The main emphasis is on addressing issues that urban society faces, such as resource shortages, environmental pollution, population increase, and demographic changes. In a more general sense, the phrase also refers to non-technical innovations that improve the sustainability of urban living.

Multi-Hospital Management: Combining Vital Signs IoT Data and the Elasticity Technique to Support Healthcare 4.0

“…It can improve resource utilization efficiency, optimize urban operation and services, and improve the quality of life of citizens [3,4]. This concept refers to the use of various information technologies or innovative concepts, such as the Internet of Things (IoT), Cyber-Physical Systems (CPS), or Wireless Sensor Networks (WSNs) [5][6][7] to improve the quality of life of people. Various applications and systems can be imagined for smart cities, including smart buildings [8], smart homes [9], waste management [10], environmental detection [11], smart energy [12], traffic [13,14] and healthcare [15].…”