000			02813nam a22004095i 4500
999			_c395502 _d395502 _x1
001			395502
003			ES-MaUEC
005			20240201134352.0
006			a||||fo|||| 00| 0
007			cr nn 008mamaa
008			211029s2022 si | s |||| 0|eng d
020			_a9789811662652
024	7		_a10.1007/978-981-16-6265-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aR859.7.A78 _b2022 EB
245	0	0	_aArtificial Intelligence in Healthcare _cedited by Lalit Garg, Sebastian Basterrech, Chitresh Banerjee, Tarun K. Sharma
250			_a1st edition 2022
264		1	_aSingapore _bSpringer International Publishing _c2022
300			_a1 recurso en línea (X, 150 páginas) _b63 ilustraciones, 44 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aAdvanced Technologies and Societal Change _x2191-6861
505	0		_aGeospatial Modelling and Trend Analysis of Coronavirus outbreaks using Sentiment Analysis and Intelligent Algorithms -- A Particle Swarm Optimization based ANN Predictive Model for Statistical Detection of COVID-19 -- Identifying Malignancy of Lung Cancer using Deep Learning Concepts -- Protecting ECG Signals with Hybrid Swarm Intelligence Algorithm -- Human Eye Vision Algorithm (HEVA): A novel approach for the Optimization of Combinatorial Problems.
520			_aThis book highlights the analytics and optimization issues in healthcare systems, proposes new approaches, and presents applications of innovative approaches in real facilities. In the past few decades, there has been an exponential rise in the application of swarm intelligence techniques for solving complex and intricate problems arising in healthcare. The versatility of these techniques has made them a favorite among scientists and researchers working in diverse areas. The primary objective of this book is to bring forward thorough, in-depth, and well-focused developments of hybrid variants of swarm intelligence algorithms and their applications in healthcare systems.
988			_aSpringer_Robotics_2022
650		7	_2embne _aInteligencia artificial _vCongresos y asambleas _9413115
776	0	8	_iPrinted edition: _z9789811662645
776	0	8	_iPrinted edition: _z9789811662669
776	0	8	_iPrinted edition: _z9789811662676
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-6265-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2023 _dz _eu _zSI