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020			_a9789813344129
024	7		_a10.1007/978-981-33-4412-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _erda _dES-MaUEC
050		4	_aR858 _b2021 EB
245	0	0	_aAI and Machine Learning Paradigms for Health Monitoring System : _bIntelligent Data Analytics _cedited by Hasmat Malik, Nuzhat Fatema, Jafar A. Alzubi
250			_aFirst edition 2021
264		1	_aSingapore _bSpringer International Pulishing _c2021
300			_a1 recurso en línea (XXIV, 513 páginas) _b259 ilustraciones, 183 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 Big Data _x2197-6503 _v86
490	0		_aIntelligent Technologies and Robotics (SpringerNature-42732)
490	0		_aIntelligent Technologies and Robotics (R0) (SpringerNature-43728)
505	0		_aOptimization Solutions for Demand Side Management and Monitoring -- An Insight into Tool and Software Used in AI, Machine Learning and Data Analytics -- Security Enhancement and Monitoring for Data Sensing Networks Using a Novel Asymmetric Mirror-Key Data Encryption Method -- Introduction to Cuckoo Search and its Paradigms: A Bibliographic Survey and Recommendations -- Routing Protocols for Internet of Vehicles: A Review -- Introduction to Particle Swarm Optimization and its Paradigms: A Bibliographic Survey -- Classification and Monitoring of Injuries Around Knee Using Radiographs Based Deep Learning Algorithm -- Artificial Intelligence: It's Role in Diagnosis and Monitoring against COVID-19 -- Predicting Future, past and Misinterpreted COVID-19 Cases using Bidirectional LSTM Model for Proper Health Monitoring: Advances in Data Analytics -- Data Driven Analysis to Identify the Role of Relational Benefit in Developing Customer Loyalty and Management: A Case Study.
520	3		_aThis book embodies principles and applications of advanced soft computing approaches in engineering, healthcare and allied domains directed toward the researchers aspiring to learn and apply intelligent data analytics techniques. The first part covers AI, machine learning and data analytics tools and techniques and their applications to the class of several hospital and health real-life problems. In the later part, the applications of AI, ML and data analytics shall be covered over the wide variety of applications in hospital, health, engineering and/or applied sciences such as the clinical services, medical image analysis, management support, quality analysis, bioinformatics, device analysis and operations. The book presents knowledge of experts in the form of chapters with the objective to introduce the theme of intelligent data analytics and discusses associated theoretical applications. At last, it presents simulation codes for the problems included in the book for better understanding for beginners.
988			_aSpringer_Robotics_2021
650		7	_2embne _aInteligencia artificial _9413115
650		7	_2embne _aInformática médica _9421154
700	1		_aMalik, Hasmat _eeditor literario _0(orcid)0000-0002-0085-9734 _1https://orcid.org/0000-0002-0085-9734 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aFatema, Nuzhat _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aAlzubi, Jafar A _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9789813344112
776	0	8	_iPrinted edition: _z9789813344136
776	0	8	_iPrinted edition: _z9789813344143
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-33-4412-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b03/2021 _dz _eIG _zSI