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020			_a9789813346987
024	7		_a10.1007/978-981-33-4698-7 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _erda _dES-MaUEC
050		4	_aQ325.5 _b2021 EB
245	0	0	_aTechnical Advancements of Machine Learning in Healthcare _cedited by Hrudaya Kumar Tripathy, Sushruta Mishra, Pradeep Kumar Mallick, Amiya Ranjan Panda.
250			_aFirst edition 2021
264		1	_aSingapore _bSpringer International Pulishing _c2021
300			_a1 recurso en línea (XIII, 388 páginas) _b196 ilustraciones, 138 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF _2
490	0		_aStudies in Computational Intelligence _x1860-949X _v936
490	0		_aIntelligent Technologies and Robotics (SpringerNature-42732)
490	0		_aIntelligent Technologies and Robotics (R0) (SpringerNature-43728)
505	0		_aInnovation on Machine Learning in Healthcare Services - An Introduction -- Big Data Application in Health Care: A Study -- Empirical Study on Different Feature Selection and Classification Algorithms for Prediction of Hepatitis Disease -- Meta Cognitive Neural Network for Emphysema Classification -- Analysis of Gaussian & Cauchy Mutations in K-Means Particle Swarm Optimization Algorithm for Data Clustering -- Emergence of Drug Discovery in Machine Learning -- Deep Learning Frameworks in Healthcare systems -- Deep Learning Neural Network and CNN based Diagnosis of Heart Diseases -- Deep learning model for efficient mammogram analysis.
520	3		_aThis book focuses on various advanced technologies which integrate with machine learning to assist one of the most leading industries, healthcare. It presents recent research works based on machine learning approaches supported by medical and information communication technologies with the use of data and image analysis. The book presents insight about techniques which broadly deals in delivery of quality, accurate and affordable healthcare solutions by predictive, proactive and preventative methods. The book also explores the possible use of machine learning in enterprises, such as enhanced medical imaging/diagnostics, understanding medical data, drug discovery and development, robotic surgery and automation, radiation treatments, creating electronic smart records and outbreak prediction.
988			_aSpringer_Robotics_2021
650		7	_2embne _aAprendizaje automático _9166090
650		7	_2embne _9167079 _aSistemas de imágenes en medicina
700	1		_aTripathy, Hrudaya Kumar _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aMishra, Sushruta _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aMallick, Pradeep Kumar _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aPanda, Amiya Ranjan _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9789813346970
776	0	8	_iPrinted edition: _z9789813346994
776	0	8	_iPrinted edition: _z9789813347007
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-33-4698-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b03/2021 _dz _eIG _zSI