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001			394572
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005			20230102123141.0
007			cr nn 008mamaa
008			220628s2022 sz | s |||| 0|eng d
020			_a9783031045974
024	7		_a10.1007/978-3-031-04597-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
245	1	0	_aArtificial Intelligence and Machine Learning Methods in COVID-19 and Related Health Diseases _cedited by Victor Chang, Harleen Kaur, Simon James Fong
250			_a1st edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (VIII, 248 páginas) _b85 ilustraciones, 59 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aStudies in Computational Intelligence _x1860-9503 _v1023
505	0		_aUncertainty Propagation and Salient Features Maps in Deep Learning Architectures for Supporting Covid-19 Diagnosis -- A review of Machine Learning techniques to detect and treat COVID-19 using EHR data -- Machine Learning-Based Emerging Technologies in the Post Pandemic Scenario -- Biomedical Data Driven COVID-19 Prediction using Machine Learning Approach -- Impact of COVID-19 on Indian Agriculture -- Coordination of Covid-19 vaccination: an optimization problem and related tools derived from telecommunications systems.
520			_aThis Springer book provides a perfect platform to submit chapters that discuss the prospective developments and innovative ideas in artificial intelligence and machine learning techniques in the diagnosis of COVID-19. COVID-19 is a huge challenge to humanity and the medical sciences. So far as of today, we have been unable to find a medical solution (Vaccine). However, globally, we are still managing the use of technology for our work, communications, analytics, and predictions with the use of advancement in data science, communication technologies (5G & Internet), and AI. Therefore, we might be able to continue and live safely with the use of research in advancements in data science, AI, machine learning, mobile apps, etc., until we can find a medical solution such as a vaccine. We have selected eleven chapters after the vigorous review process. Each chapter has demonstrated the research contributions and research novelty. Each group of authors must fulfill strict requirements.
700	1		_aChang, Victor _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aKaur, Harleen _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aFong, Simon James _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9783031045967
776	0	8	_iPrinted edition: _z9783031045981
776	0	8	_iPrinted edition: _z9783031045998
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-04597-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aSpringer_Robotics_2022
999			_c394572 _d394572