AIoT and Big Data Analytics for Smart Healthcare Applications

A Survey on Semantic AIOT Concepts and Applications in Healthcare

Author(s): Sapna R., Pravinth Raja, Vidhya Banu, B. N. Shwetha and Shreyas Suresh Rao * .

Pp: 1-27 (27)

DOI: 10.2174/9789815196054123050004

* (Excluding Mailing and Handling)

Abstract

The incorporation of semantics and the necessary interoperability within these aspects is essential for the domain's proper operation as well as execution. Healthcare systems have become an ideal arena of IoT because they tackle the problems of humanity, especially of an older population whilst providing secure and high-quality home care and support. The use of IoT technologies in healthcare will improve the quality of human life, chronic illness monitoring, hazard detection, and life-saving measures. To get more useful information from biomedical big data, it must have interoperability. In the latest times, an increasing count of organizations and businesses have expressed interest in combining semantic web technologies alongside healthcare big data to transform data into knowledge and understanding. Even though we can see a systematic acceptance of semantic technologies-based applications in the IoT domain and across the Internet, the cumulative actual implementations are insufficient to provide real-world rooted standards and guidelines to follow. This sets the stage for this work, which attempts to describe current developments in the application of semantic technologies in the IoT domain. This motivates the authors to examine and highlight some of the developing developments in semantic technology, its effects in the IoT area, and how they are together seen in the health-care. Over the last several times, there has been a lot of emphasis on using SWT to enhance the uptake of sensor networks, IoT, and WoT. Indeed, to tackle semantic interoperability and other issues in health care domains, there is a need to comprehend its means of construction.

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