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008			230701s2023 si | o |||| 0|eng d
020			_a9789819931576
024	7		_a10.1007/978-981-99-3157-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ334 _b2023 EB
100	1		_aTalukdar, Jyotismita _eautor _4http://id.loc.gov/vocabulary/relators/aut _9689647
245	1	0	_aArtificial Intelligence in Healthcare Industry _cby Jyotismita Talukdar, Thipendra P. Singh, Basanta Barman
250			_a1st ed 2023
264		1	_aSingapore _bSpringer Nature _c2023
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	0		_aAdvanced Technologies and Societal Change _x2191-6861
505	0		_aIntroduction to Human and Artificial Intelligence -- Knowledge Representation and Reasoning -- Methods of Machine Learning -- Supervised learning -- Unsupervised Learning -- Time-series analysis -- Artificial Intelligence in Healthcare -- Rule based expert systems -- Robotic Process Automation: A path to Intelligent Healthcare -- Tools and Technologies for implementing AI approaches in healthcare -- Learning Evaluation for Intelligence -- Ethics of Intelligence.
520			_aThis book presents a systematic evolution of artificial intelligence (AI), its applications, challenges and solutions in the field of healthcare. The book mainly covers the foundations and various methods of learning in artificial intelligence with its application in healthcare industry. This book provides a comprehensive introduction to data analysis using AI as a tool in the generation, normalization and analysis of healthcare data in association with several evaluation techniques and accuracy measurements. The book is divided into three major sections describing the basic foundations of AI and its associated algorithms, history of artificial intelligence in healthcare, recent developments and several modeling techniques for the same. The last section of the book provides insights into several implementations and methods of evaluation and accuracy prediction for healthcare analysis in AI. Extensive use of data for analysis and prediction using several technologies has transformed the lives of normal people indirectly effecting our process to communicate, learn, work and socialize within the society. Thus, the book also provides an insight into the ethics of AI that is very vital in the process of implementation and evaluation of healthcare data. The book provides an organized analysis to a considerable part of data in a digitized society. In view of this, it covers the theory, methodology, perfection and verification of empirical work for health-related data processing. Particular attention is devoted to in-depth experiments and applications.
988			_aSpringer_Computer_2023
650		7	_2embne _9413115 _aInteligencia artificial
700	1		_9690197 _aSingh, Thipendra P. _eautor
700	1		_9690198 _aBarman, Basanta _eautor
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-99-3157-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2024 _dz _ek _zSI