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040 _aOCoLC-P
_beng
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_cOCoLC-P
020 _a9781000224009
_q(ePub ebook)
020 _a1000224007
_q(ePub ebook)
020 _a9781000223941
_q(PDF ebook)
020 _a1000223949
_q(PDF ebook)
020 _a9780429317224
_q(ebook)
020 _a0429317220
_q(ebook)
020 _a9781000223972
_q(electronic bk. : Mobipocket)
020 _a1000223973
_q(electronic bk. : Mobipocket)
020 _z9780367322007 (hbk.)
024 7 _a10.1201/9780429317224
_2doi
035 _a(OCoLC)1222777019
_z(OCoLC)1227044790
035 _a(OCoLC-P)1222777019
050 4 _aR858
072 7 _aCOM
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072 7 _aCOM
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072 7 _aMED
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072 7 _aUB
_2bicssc
082 0 4 _a362.10285
_223
245 0 0 _aGreen computing and predictive analytics for healthcare /
_cedited by Sourav Banerjee, Chinmay Chakraborty, Kousik Dasgupta.
250 _aFirst edition.
264 1 _aBoca Raton :
_bChapman & Hall/CRC,
_c2021.
300 _a1 online resource :
_billustrations (black and white)
336 _atext
_2rdacontent
336 _astill image
_2rdacontent
337 _acomputer
_2rdamedia
338 _aonline resource
_2rdacarrier
520 _aGreen Computing and Predictive Analytics for Healthcare excavates the rudimentary concepts of Green Computing, Big Data and the Internet of Things along with the latest research development in the domain of healthcare. It also covers various applications and case studies in the field of computer science with state-of-the-art tools and technologies. The rapid growth of the population is a challenging issue in maintaining and monitoring various experiences of quality of service in healthcare. The coherent usage of these limited resources in connection with optimum energy consumption has been becoming more important. The major healthcare nodes are gradually becoming Internet of Things-enabled, and sensors, work data and the involvement of networking are creating smart campuses and smart houses. The book includes chapters on the Internet of Things and Big Data technologies. Features: Biomedical data monitoring under the Internet of Things Environment data sensing and analyzing Big data analytics and clustering Machine learning techniques for sudden cardiac death prediction Robust brain tissue segmentation Energy-efficient and green Internet of Things for healthcare applications Blockchain technology for the healthcare Internet of Things Advanced healthcare for domestic medical tourism system Edge computing for data analytics This book on Green Computing and Predictive Analytics for Healthcare aims to promote and facilitate the exchange of research knowledge and findings across different disciplines on the design and investigation of healthcare data analytics. It can also be used as a textbook for a master's course in biomedical engineering. This book will also present new methods for medical data evaluation and the diagnosis of different diseases to improve quality-of-life in general and for better integration of Internet of Things into society. Dr. Sourav Banerjee is an Assistant Professor at the Department of Computer Science and Engineering of Kalyani Government Engineering College, Kalyani, West Bengal, India. His research interests include Big Data, Cloud Computing, Distributed Computing and Mobile Communications. Dr. Chinmay Chakraborty is an Assistant Professor at the Department of Electronics and Communication Engineering, Birla Institute of Technology, Mesra, India. His main research interests include the Internet of Medical Things, WBAN, Wireless Networks, Telemedicine, m-Health/e-Health and Medical Imaging. Dr. Kousik Dasgupta is an Assistant Professor at the Department of Computer Science and Engineering, Kalyani Government Engineering College, India. His research interests include Computer Vision, AI/ML, Cloud Computing, Big Data and Security.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aMedical care
_xData processing.
_98239
650 0 _aComputer systems
_xEnergy conservation.
_919239
650 7 _aCOMPUTERS / General
_2bisacsh
_95150
650 7 _aCOMPUTERS / Computer Engineering
_2bisacsh
_94770
650 7 _aMEDICAL / Biotechnology
_2bisacsh
_919240
700 1 _aBanerjee, Sourav,
_eeditor.
_919241
700 1 _aChakraborty, Chinmay, 1984-,
_eeditor.
_919242
700 1 _aDasgupta, Kousik,
_eeditor.
_919243
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9780429317224
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942 _cEBK
999 _c72053
_d72053