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003			ES-MaUEC
005			20230102121408.0
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007			cr nn nnnaamaa
008			210811s2021 sz | s |||| 0|eng d
020			_a9783030752200
024	7		_a10.1007/978-3-030-75220-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aR859.7 .A78 _b2021 EB
245	0	4	_aThe Fusion of Internet of Things, Artificial Intelligence, and Cloud Computing in Health Care _cedited by Patrick Siarry, M.A. Jabbar, Rajanikanth Aluvalu, Ajith Abraham, Ana Madureira
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Publising _c2021
300			_a1 recurso en línea (VIII, 268 páginas) _b180 ilustraciones, 115 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aInternet of Things Technology Communications and Computing _x2199-1081
490	0		_aComputer Science (SpringerNature-11645)
490	0		_aComputer Science (R0) (SpringerNature-43710)
505	0		_aIntroduction -- Remote Patient Monitoring Using IoT, Cloud Computing and AI -- The Internet of M-Health Things (m-IoT) -- Healthcare Data Storage Options Using Cloud -- Cloud-based telemedicine ecosystem and adoption of AI -- The benefits and risks of Integrating IoT, AI in cloud services for healthcare -- Pattern Imaging Analytics using Artificial Intelligence techniques -- Identifying Diseases and Diagnosis using Artificial Intelligence -- Robotic Surgery -- Personalized Treatment with the help of IoT Artificial Intelligence and cloud -- Predicting Epidemic Outbreaks using IoT Artificial Intelligence and Cloud -- Crowd sourced Data Collection -- Maintaining Healthcare Records using Cloud storage -- Privacy and Security issues in health care based IoT -- IoT Healthcare Applications -- Applications of AI, IoT and Cloud computing in battling COVID-19 -- Intelligent Health Informatics for Handling the COVID-19 Situation -- Conclusion.
520	3		_aThis book reviews the convergence technologies like cloud computing, artificial intelligence (AI) and Internet of Things (IoT) in healthcare and how they can help all stakeholders in the healthcare sector. The book is a proficient guide on the relationship between AI, IoT and healthcare and gives examples into how IoT is changing all aspects of the healthcare industry. Topics include remote patient monitoring, the telemedicine ecosystem, pattern imaging analytics using AI, disease identification and diagnosis using AI, robotic surgery, prediction of epidemic outbreaks, and more. The contributors include applications and case studies across all areas of computational intelligence in healthcare data. The authors also include workflow in IoT-enabled healthcare technologies and explore privacy and security issues in healthcare-based IoT. Covers concepts of artificial intelligence and applications of computational intelligence, IoT and cloud computing in medical domain; Discusses how the fusion of Internet of Things, AI and cloud computing help in diagnosis, prediction, and storage of medical records in health care domain; Includes case studies throughout on applications of computational intelligence in healthcare data.
988			_aSpringer_Computer_2021
650		7	_2embne _9421371 _aInteligencia artificial en medicina
650		7	_2embne _9666069 _aInformática en la nube
700	1		_aSiarry, Patrick _eeditor literario
700	1		_aJabbar, M.A _eeditor literario
700	1		_aAluvalu, Rajanikanth _eeditor literario
700	1		_aAbraham, Ajith _eeditor literario
700	1		_aMadureira, Ana _eeditor literario
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-75220-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2022 _dz _eu _zSI