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008			200309s2020 gw | s |||| 0|eng d
020			_a9783030408503
024	7		_a10.1007/978-3-030-40850-3 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_a R859.7 .A78 _b2020 EB
245	0	0	_aMachine Learning with Health Care Perspective _bMachine Learning and Healthcare _cedited by Vishal Jain, Jyotir Moy Chatterjee.
250			_aFirst edition 2020.
264		1	_aCham _bSpringer International Publishing : _bImprint: Springer _c2020.
300			_a1 recurso en línea (X, 415 páginas) _b187 ilustraciones, 117 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aArchivo de texto _bPDF
490	0		_aLearning and Analytics in Intelligent Systems _x2662-3447 _v13
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_aChapter 1: Machine learning for Healthcare: Introduction -- Chapter 2: Artificial Intelligence in Medical Diagnosis: Methods, algorithms and applications -- Chapter 3: Intelligent Learning Analytics in Healthcare Sector Using Machine Learning -- Chapter 4: Unsupervised Learning on Healthcare Survey Data with Particle Swarm Optimization -- Chapter 5: Machine Learning for Healthcare Diagnostics -- Chapter 6: Disease Detection System (DDS) Using Machine Learning Technique -- Chapter 7: Knowledge Discovery (Feature Identification) from Teeth, Wrist and Femur Images to determine Human Age and Gender -- Chapter 8: Deep Learning Solutions for Skin Cancer Detection and Diagnosis -- Chapter 9: Security of Healthcare Systems with Smart Health Records using Cloud Technology -- Chapter 10: Intelligent Heart Disease Prediction on Physical and Mental Parameters: A ML Based IoT and Big Data Application and Analysis -- Chapter 11: Medical Text and image processing: Applications, issues and challenges -- Chapter 12: Machine Learning Methods for Managing Parkinson's Disease -- Chapter 13: An Efficient Method for Computer-aided Diagnosis of Cardiac Arrhythmias -- Chapter 14: Clinical decision support systems and predictive analytics -- Chapter 15: Yajna and Mantra Science Bringing Health and Comfort to Indo-Asian Public: A Healthcare 4.0 Approach and Computational Study -- Chapter 16: Identifying Diseases and Diagnosis using Machine Learning.
520	3		_aThis unique book introduces a variety of techniques designed to represent, enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. Providing a unique compendium of current and emerging machine learning paradigms for healthcare informatics, it reflects the diversity, complexity, and the depth and breadth of this multi-disciplinary area. Further, it describes techniques for applying machine learning within organizations and explains how to evaluate the efficacy, suitability, and efficiency of such applications. Featuring illustrative case studies, including how chronic disease is being redefined through patient-led data learning, the book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare challenges.
988			_aSpringer_Robotics_31032020
650		7	_2embne _9421371 _aInteligencia artificial en medicina
700	1		_aJain, Vishal _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aChatterjee, Jyotir Moy. _eeditor. _0(orcid)0000-0003-2527-916X _1https://orcid.org/0000-0003-2527-916X _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
776	0	8	_iPrinted edition: _z9783030408497
776	0	8	_iPrinted edition: _z9783030408510
776	0	8	_iPrinted edition: _z9783030408527
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-40850-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b05/2020 _dz _eh _zSI