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008			220210s2022 sz | s |||| 0|eng d
020			_a9783030911812
024	7		_a10.1007/978-3-030-91181-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aR859.7.A78 _b2022 EB
245	0	0	_aIntegrating Artificial Intelligence and IoT for Advanced Health Informatics : _bAI in the Healthcare Sector _cedited by Carmela Comito, Agostino Forestiero, Ester Zumpano
250			_aFirst edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XIV, 177 páginas) _b50 ilustraciones, 48 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
505	0		_a1. Lower-Gait Tracking Application Using Smartphones and Tablets -- 2. One-class classification approach in accelerometer based remote monitoring of physical activities for healthcare applications -- 3. Detecting and monitoring behavioural patterns in individuals with cognitive disorders in the home environment with partial annotations -- 4. Towards On-device Weight Monitoring from Selfie Face Images Using Smartphones -- 5. Convergence between IoT and AI for Smart Health and Predictive Medicine -- 6. An Artificial Intelligence and Internet of Things Platform for Healthcare and Industrial Applications -- 7. Methods in Digital Mental Health: Smartphone-based Assessment and Intervention for Stress, Anxiety and Depression -- 8. AI for the detection of the Diabetic Retinopathy -- 9. Enhancing EEG-based Emotion Recognition with Fast Online Instance Transfer -- 10. Using Association Rules to mine Actionable Knowledge from Internet of Medical Thinks data.
520			_aThe book covers the integration of Internet of Things (IoT) and Artificial Intelligence (AI) to tackle applications in smart healthcare. The authors discuss efficient means to collect, monitor, control, optimize, model, and predict healthcare data using AI and IoT. The book presents the many advantages and improvements in the smart healthcare field, in which ubiquitous computing and traditional computational methods alone are often inadequate. AI techniques are presented that play a crucial role in dealing with large amounts of heterogeneous, multi-scale and multi-modal data coming from IoT infrastructures. The book is intended to cover how the fusion of IoT and AI allows the design of models, methodologies, algorithms, evaluation benchmarks, and tools can address challenging problems related to health informatics, healthcare, and wellbeing.
988			_aSpringer_Engineering_2022
650		7	_2embne _9483083 _aInternet de los objetos
650		7	_2embne _9421371 _aInteligencia artificial en medicina
650		7	_2embne _9672585 _aAyudas técnicas para personas con discapacidad
650		7	_2embne _9421154 _aInformática médica
700	1		_aComito, Carmela _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aForestiero, Agostino _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aZumpano, Ester _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9783030911805
776	0	8	_iPrinted edition: _z9783030911829
776	0	8	_iPrinted edition: _z9783030911836
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-91181-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b05/2022 _dz _esc _zSI