Artificial intelligence in healthcare industry / Jyotismita Talukdar, Thipendra P. Singh, Basanta Barman.
Talukdar, Jyotismita, author.; Singh, Thipendra P. author.; Barman, Basanta, author.
2023
R859.7.A78
Available Online

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Title Artificial intelligence in healthcare industry / Jyotismita Talukdar, Thipendra P. Singh, Basanta Barman.
Author Talukdar, Jyotismita, author.
ISBN 9789819931576 (electronic bk.)
9819931576 (electronic bk.)
9789819931569
9819931568
DOI https://doi.org/10.1007/978-981-99-3157-6
Published Singapore : Springer, 2023.
Language English
Description 1 online resource (ix, 202 pages) : illustrations (some color).
Other Standard Identifiers 10.1007/978-981-99-3157-6 doi
Call Number R859.7.A78
Dewey Decimal Classification 610.285/63
Summary This 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.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed July 6, 2023).
Added Author Singh, Thipendra P. author.
Barman, Basanta, author.
Series Advanced technologies and societal change, 2191-6861
Available in Other Form Print version: 9789819931569
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
Introduction 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.

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