Big Data Analytics for Large Scale Wireless Body Area Networks; Challenges, and Applications
Advanced Analytics; Big data; Data Analytics; Wireless sensor networks; Cloud-based; Condition; Development of science and technologies; Human society; Human subjects; Implementation process; Large amounts of data; Large scale wireless body area network; Large-scales; Wireless body area network; Wir...
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Springer Science and Business Media Deutschland GmbH
2023
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my.uniten.dspace-272202023-05-29T17:41:11Z Big Data Analytics for Large Scale Wireless Body Area Networks; Challenges, and Applications Abdulshaheed H.R. Abbas H.H. Ahmed E.Q. Al-Barazanchi I. 57209849809 57211923537 57224514739 57659035200 Advanced Analytics; Big data; Data Analytics; Wireless sensor networks; Cloud-based; Condition; Development of science and technologies; Human society; Human subjects; Implementation process; Large amounts of data; Large scale wireless body area network; Large-scales; Wireless body area network; Wireless local area networks (WLAN) With the development of technology and connectivity, it is has become easier to gather data regarding a necessity, and use that to analyze, observe and provide solutions to day-to-day problems. The development of science and technology has brought immense benefit and comfort to human society allowing us to venture further with ease. The same applies to Wireless Body Area Network (WBAN), the system that measures the medical parameters of a human subject to treat his or her ailments. The data gathered from various patients can be collected and provided to the medical authority and doctors accordingly. This is used to generate patterns from a definitive source and provide clarity of the patient�s disease and/or any condition to the doctors. However, doing that for many patients and hospital records requires an immense amount of time and people. This is where big data analytics comes into play, a cloud based analytics technology that scans extraordinarily large amounts of data, identifies similarities and differences, and observes the patterns to help doctors solve their patients� diseases or conditions. Using this technology prevents unnecessary deaths of patients. This paper will explain the implementation process of big data analytics in large scale WBAN, the difficulties and challenges that may occur, and its applications and benefits. � 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. Final 2023-05-29T09:41:10Z 2023-05-29T09:41:10Z 2022 Book Chapter 10.1007/978-3-030-98741-1_35 2-s2.0-85127890414 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127890414&doi=10.1007%2f978-3-030-98741-1_35&partnerID=40&md5=35ee1c24d6d5ad99e9c41d81f6393580 https://irepository.uniten.edu.my/handle/123456789/27220 127 423 434 Springer Science and Business Media Deutschland GmbH Scopus |
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Advanced Analytics; Big data; Data Analytics; Wireless sensor networks; Cloud-based; Condition; Development of science and technologies; Human society; Human subjects; Implementation process; Large amounts of data; Large scale wireless body area network; Large-scales; Wireless body area network; Wireless local area networks (WLAN) |
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57209849809 |
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57209849809 Abdulshaheed H.R. Abbas H.H. Ahmed E.Q. Al-Barazanchi I. |
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Book Chapter |
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Abdulshaheed H.R. Abbas H.H. Ahmed E.Q. Al-Barazanchi I. |
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Abdulshaheed H.R. Abbas H.H. Ahmed E.Q. Al-Barazanchi I. Big Data Analytics for Large Scale Wireless Body Area Networks; Challenges, and Applications |
author_sort |
Abdulshaheed H.R. |
title |
Big Data Analytics for Large Scale Wireless Body Area Networks; Challenges, and Applications |
title_short |
Big Data Analytics for Large Scale Wireless Body Area Networks; Challenges, and Applications |
title_full |
Big Data Analytics for Large Scale Wireless Body Area Networks; Challenges, and Applications |
title_fullStr |
Big Data Analytics for Large Scale Wireless Body Area Networks; Challenges, and Applications |
title_full_unstemmed |
Big Data Analytics for Large Scale Wireless Body Area Networks; Challenges, and Applications |
title_sort |
big data analytics for large scale wireless body area networks; challenges, and applications |
publisher |
Springer Science and Business Media Deutschland GmbH |
publishDate |
2023 |
_version_ |
1806425982031101952 |
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13.222552 |