Koronavirüs (COVİD-19) sürecinde 5g sağlık sistemi
2024
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Advisor: Prof. Dr. Galip Cansever
Abstract (EN)
This study's primary goal is to identify knowledge gaps and the most often used information mining techniques in the body of current literature. Novel coronavirus pneumonia has become a significant public health concern, particularly COVID-19. In the academic community, information extraction techniques have been used to uncover concealed knowledge as the possibility of a widespread raises open concerns for wellness. A methodical investigation was carried out using the use of the PubMed, Scopus, and Internet of Science databases. There were 515 million COVID-19 cases and about 6 million deaths worldwide as of May 2022. According to estimates from the World Health Organization, 115,000 healthcare workers died from COVID-19 between January 2020 and May 2021. Patients with impaired immune systems and nano-oncology for the Web of Nano Technologies (IoNT).. There are still issues that need to be clarified and addressed in order to plan clinical execution. These cover the following topics: foundation and breadth; health risks; security and comprehension of information security; artificial intelligence; blockchain; IoT and 5G utilization; authorization; ongoing acknowledgement; and final client education on these technologies.
Author
Mohammed Muayad Murshed Alani
Institution

Altınbaş University
Elektrik ve Bilgisayar Mühendisliği Bilim Dalı
How to Cite
Mohammed Muayad Murshed Alani (Master Thesis). Koronavirüs (COVİD-19) sürecinde 5g sağlık sistemi, 2024, Altınbaş University.
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