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020 _a9789819931576
_9978-981-99-3157-6
024 7 _a10.1007/978-981-99-3157-6
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
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_223
100 1 _aTalukdar, Jyotismita.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aArtificial Intelligence in Healthcare Industry
_h[electronic resource] /
_cby Jyotismita Talukdar, Thipendra P. Singh, Basanta Barman.
250 _a1st ed. 2023.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2023.
300 _aIX, 202 p. 100 illus., 76 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _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 thelives 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.
650 0 _aArtificial intelligence.
650 0 _aMedical care.
650 0 _aComputational intelligence.
650 0 _aInternet of things.
650 0 _aDatabase management.
650 1 4 _aArtificial Intelligence.
650 2 4 _aHealth Care.
650 2 4 _aComputational Intelligence.
650 2 4 _aInternet of Things.
650 2 4 _aDatabase Management.
700 1 _aSingh, Thipendra P.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aBarman, Basanta.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819931569
776 0 8 _iPrinted edition:
_z9789819931583
776 0 8 _iPrinted edition:
_z9789819931590
830 0 _aAdvanced Technologies and Societal Change,
_x2191-6861
856 4 0 _uhttps://doi.org/10.1007/978-981-99-3157-6
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c178908
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