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Artificial Intelligence In Healthcare Industry Jyotismita Talukdar

  • SKU: BELL-50721132
Artificial Intelligence In Healthcare Industry Jyotismita Talukdar
$ 31.00 $ 45.00 (-31%)

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Artificial Intelligence In Healthcare Industry Jyotismita Talukdar instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 5.16 MB
Pages: 207
Author: Jyotismita Talukdar, Thipendra P. Singh, Basanta Barman
ISBN: 9789819931569, 9819931568
Language: English
Year: 2023

Product desciption

Artificial Intelligence In Healthcare Industry Jyotismita Talukdar by Jyotismita Talukdar, Thipendra P. Singh, Basanta Barman 9789819931569, 9819931568 instant download after payment.

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.

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