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020			_a9789811629723
024	7		_a10.1007/978-981-16-2972-3 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ342 _b2021 EB
245	1	0	_aHybrid Artificial Intelligence and IoT in Healthcare _cedited by Akash Kumar Bhoi, Pradeep Kumar Mallick, Mihir Narayana Mohanty, Victor Hugo C. de Albuquerque.
250			_aFirst edition 2021
264		1	_aSingapore _bSpringer International Pulishing _c2021
300			_a1 recurso en línea (XVI, 328 páginas) _b113 ilustraciones, 79 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aIntelligent Systems Reference Library _x1868-4408 _v209
490	0		_aIntelligent Technologies and Robotics (SpringerNature-42732)
490	0		_aIntelligent Technologies and Robotics (R0) (SpringerNature-43728)
505	0		_aChapter 1. Hybrid Cloud/Fog Environment for Healthcare: An Exploratory Study, Opportunities, Challenges, and Future Prospects -- Chapter 2. Hybrid Intelligent System for Medical Diagnosis in Healthcare -- Chapter 3. Remote Patient Monitoring Using IoT, Cloud Computing and AI -- Chapter 4. An Analytical Study of the Role of M-IoT in Healthcare Domain -- Chapter 5. Hybrid AI and IoT Approaches Used in Health Care for Patients Diagnosis -- Chapter 6. RADIoT: The unifying framework for IoT, Radiomics and Deep Learning Modelling -- Chapter 7. Hybrid Artificial Intelligence and IoT in Healthcare for cardiovascular patient in decision making system -- Chapter 8. A Smart Assistive System for Visually Impaired to in-form acquaintance using Image Processing (ML) supported by IoT -- Chapter 9. Internet of things in healthcare: A survey -- Chapter 10. Disease Diagnosis System for IoT-Based Wearable Body Sensors with Machine Learning Algorithm -- Chapter 11. Integration of Machine Learning and IoT in Healthcare Domain -- Chapter 12. Managing Interstitial Lung Diseases with Computer Aided Visualization -- Chapter 13. Use of Machine Learning Algorithms to Identify Sleep Phases Starting from ECG Signals -- Chapter 14. Emerging Technologies for Pandemic and its Impact -- Chapter 15. Impact of Artificial Intelligence in Healthcare: A Study.
520	3		_aThis book covers applications for hybrid artificial intelligence (AI) and Internet of Things (IoT) for integrated approach and problem solving in the areas of radiology, drug interactions, creation of new drugs, imaging, electronic health records, disease diagnosis, telehealth, and mobility-related problems in healthcare. The book discusses the convergence of AI and the hybrid approaches in healthcare which optimizes the possible solutions and better treatment. Internet of Things (IoT) in healthcare is the next-gen technologies which automate the healthcare facility by mobility solutions are discussed in detail. It also discusses hybrid AI with bio-inspired techniques, genetic algorithm, neuro-fuzzy algorithms, and soft computing approaches which significantly improves the prediction of critical cardiovascular abnormalities and other healthcare solutions to the ongoing challenging research.
988			_aSpringer_Robotics_2021
650		7	_2embne _aInteligencia artificial _9413115
700			_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 _9681098
700	1		_aMallick, Pradeep Kumar, _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9681099 _d1984-
700			_aNarayana Mohanty, Mihir _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9681763
700	1		_aDe Albuquerque, Victor Hugo C. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9681764
776	0	8	_iPrinted edition: _z9789811629716
776	0	8	_iPrinted edition: _z9789811629730
776	0	8	_iPrinted edition: _z9789811629747
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-2972-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE