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008			220118s2021 sz | s |||| 0|eng d
020			_a9783030670511
024	7		_a10.1007/978-3-030-67051-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aR859.7.A78 _b2021 EB
245	0	0	_aIntelligent Healthcare : _bApplications of AI in eHealth _cedited by Surbhi Bhatia, Ashutosh Kumar Dubey, Rita Chhikara, Poonam Chaudhary, Abhishek Kumar
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Publishing _c2021
300			_a1 recurso en línea (XII, 323 páginas) _b 141 ilustraciones
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aEAI/Springer Innovations in Communication and Computing _x2522-8609
490	0		_aEngineering (SpringerNature-11647)
490	0		_aEngineering (R0) (SpringerNature-43712)
505	0		_aIntroduction -- Part -I Medical Expert Systems -- Mobile Agents in Healthcare -- Fuzzy Expert Systems in Medical Domain -- Expert Systems for Bioinformatics -- Virtual Reality and Augmented Realty support systems -- Brain Computer Interface for rehabilitation -- Robotics in healthcare -- Part -II Machine Learning in Healthcare -- Rule based Learning in Healthcare -- Classification and Regression in Healthcare -- Clustering algorithms -- Deep Learning in Healthcare -- Big Data -- Nature Inspired Algorithms -- Part III Case Studies -- Corona Virus Study -- Dementia Prediction -- Brain Injury Data Analysis -- Pesticide data Analysis for cancer detection -- Conclusion.
520	3		_aThis book fosters a scientific debate for sophisticated approaches and cognitive technologies (such as deep learning, machine learning and advanced analytics) for enhanced healthcare services in light of the tremendous scope in the future of intelligent systems for healthcare. The authors discuss the proliferation of huge data sources (e.g. genomes, electronic health records (EHRs), mobile diagnostics, and wearable devices) and breakthroughs in artificial intelligence applications, which have unlocked the doors for diagnosing and treating multitudes of rare diseases. The contributors show how the widespread adoption of intelligent health based systems could help overcome challenges, such as shortages of staff and supplies, accessibility barriers, lack of awareness on certain health issues, identification of patient needs, and early detection and diagnosis of illnesses. This book is a small yet significant step towards exploring recent advances, disseminating state-of-the-art techniques and deploying novel technologies in intelligent healthcare services and applications. Describes the advances of computing methodologies for life and medical science data; Presents applications of artificial intelligence in healthcare along with case studies and datasets; Provides an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians.
988			_aSpringer_Engineering_2021
650		7	_2embne _9421371 _aInteligencia artificial en medicina
700	1		_aBhatia, Surbhi _eeditor literario _9675003
700	1		_aDubey, Ashutosh Kumar _eeditor literario _9680747
700	1		_aChhikara, Rita _eeditor literario _9680748
700	1		_aChaudhary, Poonam _eeditor literario _9675004
700	1		_aKumar, Abhishek _eeditor literario _9680749
776	0	8	_iPrinted edition: _z9783030670504
776	0	8	_iPrinted edition: _z9783030670528
776	0	8	_iPrinted edition: _z9783030670535
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-67051-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2022 _dz _eIG _zSI