Smart City Gnosys
Smart city article details
| Title | Big Data Analytics And Data Mining For Healthcare And Smart City Applications |
|---|---|
| ID_Doc | 11998 |
| Authors | Kummar S.; Bhushan B. |
| Year | 2022 |
| Published | The Internet of Medical Things: Enabling technologies and emerging applications |
| DOI | http://dx.doi.org/10.1049/pbhe034e_ch17 |
| Abstract | The unprecedented growth of population in urban areas has been causing a challenge for the citizens in their day-to-day lives such as road congestion, public security, environmental pollution, electricity shortage and water shortage. To control and resolve all these issues, new technologies have been developed for smart cities. Intelligent services and better applications are deployed in smart cities, by combining the Internet of Things (IoT) with the technologies like data mining (DM) and deep learning (DL). Many sectors like healthcare, governance, agriculture and public safety can increase their efficiency with the help of these new technologies and can convert these into smart applications for smart cities. Different kinds of computing like edge computing, fog computing and cloud computing support to provide better insights into analytics with the help of big data in smart cities. All these technologies are transforming or raising healthcare ecosystems, leading them in the direction of smart healthcare. This permits surgeons to get real-time data of their patients distantly with the help of wireless communication. Smart healthcare is established on new technologies to convey enriched and valued healthcare facilities for patients. This chapter explores the current challenges that are faced during the indigenous development of the smart cities. Furthermore, the chapter discusses the theoretical background of smart cities with the explanation of their components. Moreover, the chapter describes the necessity of computational infrastructure for smart cities in a framework of big data and DM. The chapter highlights some mining methods for extracting important information from huge and mixed data. Additionally, the chapter examines the advancement of healthcare sector in smart cities in context of big data and DM. © The Institution of Engineering and Technology 2022. |
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