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008			220505s2022 sz | s |||| 0|eng d
020			_a9783030979294
024	7		_a10.1007/978-3-030-97929-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aR858 _b2022 EB
245	0	0	_aConnected e-Health : _bIntegrated IoT and Cloud Computing _cedited by Sushruta Mishra, Alfonso González-Briones, Akash Kumar Bhoi, Pradeep Kumar Mallick, Juan M. Corchado
250			_aFirst edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (IX, 492 páginas) _b192 ilustraciones, 147 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aStudies in Computational Intelligence _x1860-9503 _v1021
505	0		_aIntegration of Cloud and IoT for smart e-healthcare -- Integration of Medical Internet of Things with Big Data in Healthcare Industry -- Decrypting the Black Boxing of Artificial Intelligence Using Explainable Artificial Intelligence in Smart Healthcare.
520			_aWith rise of smart medical sensors, cloud computing and the health care technologies, "connected health" is getting remarkable consideration everywhere. Recently, the Internet of Things (IoT) has brought the vision of a smarter world into reality. Cloud computing fits well in this scenario as it can provide high quality of clinical experience. Thus an IoT-cloud convergence can play a vital role in healthcare by offering better insight of heterogeneous healthcare content supporting quality care. It can also support powerful processing and storage facilities of huge data to provide automated decision making. This book aims to report quality research on recent advances towards IoT-Cloud convergence for smart healthcare, more specifically to the state-of-the-art approaches, design, development and innovative use of those convergence methods for providing insights into healthcare service demands. Students, researchers, and medical experts in the field of information technology, medicine, cloud computing, soft computing technologies, IoT and the related fields can benefit from this handbook in handling real-time challenges in healthcare. Current books are limited to focus either on soft computing algorithms or smart healthcare. Integration of smart and cloud computing models in healthcare resulting in connected health is explored in detail in this book.
988			_aSpringer_Robotics_2022
650		7	_2embne _9421154 _aInformática médica
650		7	_2embne _9421371 _aInteligencia artificial en medicina
650		7	_2embne _9483083 _aInternet de los objetos
700	1		_aMishra, Sushruta _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aGonzález-Briones, Alfonso _eeditor literario _0(orcid)0000-0002-3444-4393 _1https://orcid.org/0000-0002-3444-4393 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aBhoi, Akash Kumar _eeditor literario _0(orcid)0000-0003-2759-3224 _1https://orcid.org/0000-0003-2759-3224 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aMallick, Pradeep Kumar _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aCorchado, Juan Manuel _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9100054
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783030979287
776	0	8	_iPrinted edition: _z9783030979300
776	0	8	_iPrinted edition: _z9783030979317
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-97929-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b07/2022 _dz _esc _zSI