Publication:
Big Data Analytics for Large Scale Wireless Body Area Networks; Challenges, and Applications

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dc.citedby6
dc.contributor.authorAbdulshaheed H.R.en_US
dc.contributor.authorAbbas H.H.en_US
dc.contributor.authorAhmed E.Q.en_US
dc.contributor.authorAl-Barazanchi I.en_US
dc.contributor.authorid57209849809en_US
dc.contributor.authorid57211923537en_US
dc.contributor.authorid57224514739en_US
dc.contributor.authorid57659035200en_US
dc.date.accessioned2023-05-29T09:41:10Z
dc.date.available2023-05-29T09:41:10Z
dc.date.issued2022
dc.descriptionAdvanced 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)en_US
dc.description.abstractWith 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.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/978-3-030-98741-1_35
dc.identifier.epage434
dc.identifier.scopus2-s2.0-85127890414
dc.identifier.spage423
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85127890414&doi=10.1007%2f978-3-030-98741-1_35&partnerID=40&md5=35ee1c24d6d5ad99e9c41d81f6393580
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/27220
dc.identifier.volume127
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.sourceScopus
dc.sourcetitleLecture Notes on Data Engineering and Communications Technologies
dc.titleBig Data Analytics for Large Scale Wireless Body Area Networks; Challenges, and Applicationsen_US
dc.typeBook Chapteren_US
dspace.entity.typePublication
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