000 | 03858nam a22006135i 4500 | ||
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001 | 978-3-319-49736-5 | ||
003 | DE-He213 | ||
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007 | cr nn 008mamaa | ||
008 | 170102s2017 sz | s |||| 0|eng d | ||
020 |
_a9783319497365 _9978-3-319-49736-5 |
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024 | 7 |
_a10.1007/978-3-319-49736-5 _2doi |
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_aInternet of Things and Big Data Technologies for Next Generation Healthcare _h[electronic resource] / _cedited by Chintan Bhatt, Nilanjan Dey, Amira S. Ashour. |
250 | _a1st ed. 2017. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2017. |
|
300 |
_aX, 388 p. 159 illus. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
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490 | 1 |
_aStudies in Big Data, _x2197-6511 ; _v23 |
|
520 | _aThis 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. | ||
650 | 0 |
_aComputational intelligence. _97716 |
|
650 | 0 |
_aArtificial intelligence. _93407 |
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650 | 0 |
_aMedical informatics. _94729 |
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650 | 0 |
_aBiomedical engineering. _93292 |
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650 | 0 |
_aPractice of medicine. _938777 |
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650 | 0 |
_aHospitals—Administration. _938778 |
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_aComputational Intelligence. _97716 |
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_aArtificial Intelligence. _93407 |
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_aHealth Informatics. _931799 |
650 | 2 | 4 |
_aBiomedical Engineering and Bioengineering. _931842 |
650 | 2 | 4 |
_aPractice and Hospital Management. _938780 |
700 | 1 |
_aBhatt, Chintan. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _952889 |
|
700 | 1 |
_aDey, Nilanjan. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _916114 |
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700 | 1 |
_aAshour, Amira S. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _952890 |
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710 | 2 |
_aSpringerLink (Online service) _952891 |
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_iPrinted edition: _z9783319497358 |
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_iPrinted edition: _z9783319497372 |
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_iPrinted edition: _z9783319842288 |
830 | 0 |
_aStudies in Big Data, _x2197-6511 ; _v23 _952892 |
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856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-49736-5 |
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