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04038nam a22005775i 4500 |
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978-3-319-49736-5 |
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DE-He213 |
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20210619075003.0 |
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cr nn 008mamaa |
| 008 |
170102s2017 gw | s |||| 0|eng d |
| 020 |
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|a 9783319497365
|9 978-3-319-49736-5
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|a 10.1007/978-3-319-49736-5
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|a 006.3
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|a Internet of Things and Big Data Technologies for Next Generation Healthcare
|h [electronic resource] /
|c edited by Chintan Bhatt, Nilanjan Dey, Amira S. Ashour.
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| 250 |
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|a 1st ed. 2017.
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| 264 |
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1 |
|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2017.
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| 300 |
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|a X, 388 p. 159 illus.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a text file
|b PDF
|2 rda
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| 490 |
1 |
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|a Studies in Big Data,
|x 2197-6503 ;
|v 23
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| 520 |
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|a This comprehensive book focuses on better big-data security for healthcare organizations. Following an extensive introduction to the Internet of Things (IoT) in healthcare including challenging topics and scenarios, it offers an in-depth analysis of medical body area networks with the 5th generation of IoT communication technology along with its nanotechnology. It also describes a novel strategic framework and computationally intelligent model to measure possible security vulnerabilities in the context of e-health. Moreover, the book addresses healthcare systems that handle large volumes of data driven by patients’ records and health/personal information, including big-data-based knowledge management systems to support clinical decisions. Several of the issues faced in storing/processing big data are presented along with the available tools, technologies and algorithms to deal with those problems as well as a case study in healthcare analytics. Addressing trust, privacy, and security issues as well as the IoT and big-data challenges, the book highlights the advances in the field to guide engineers developing different IoT devices and evaluating the performance of different IoT techniques. Additionally, it explores the impact of such technologies on public, private, community, and hybrid scenarios in healthcare. This book offers professionals, scientists and engineers the latest technologies, techniques, and strategies for IoT and big data.
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| 650 |
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|a Computational intelligence.
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| 650 |
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|a Artificial intelligence.
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| 650 |
|
0 |
|a Health informatics.
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| 650 |
|
0 |
|a Biomedical engineering.
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| 650 |
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|a Practice of medicine.
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| 650 |
1 |
4 |
|a Computational Intelligence.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/T11014
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| 650 |
2 |
4 |
|a Artificial Intelligence.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I21000
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| 650 |
2 |
4 |
|a Health Informatics.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/H28009
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| 650 |
2 |
4 |
|a Biomedical Engineering and Bioengineering.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/T2700X
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| 650 |
2 |
4 |
|a Practice and Hospital Management.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/H68000
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| 700 |
1 |
|
|a Bhatt, Chintan.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
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|a Dey, Nilanjan.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
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|a Ashour, Amira S.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 710 |
2 |
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|a SpringerLink (Online service)
|
| 773 |
0 |
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|t Springer Nature eBook
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783319497358
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783319497372
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9783319842288
|
| 830 |
|
0 |
|a Studies in Big Data,
|x 2197-6503 ;
|v 23
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-319-49736-5
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| 912 |
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|a ZDB-2-ENG
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| 912 |
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|a ZDB-2-SXE
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| 950 |
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|a Engineering (SpringerNature-11647)
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| 950 |
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|a Engineering (R0) (SpringerNature-43712)
|
