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Digital technology platforms and deployment

Record Type:	Electronic resources : Monograph/item
Title/Author:	Digital technology platforms and deploymentedited by Tatiana Antipova.
other author:	Antipova, Tatiana.
Published:	Cham :Springer Nature Switzerland :2025.
Description:	ix, 321 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Information technology.
Online resource:	https://doi.org/10.1007/978-3-031-86547-3
ISBN:	9783031865473$q(electronic bk.)

Digital technology platforms and deployment
Digital technology platforms and deployment[electronic resource] /edited by Tatiana Antipova. - Cham :Springer Nature Switzerland :2025. - ix, 321 p. :ill. (chiefly color), digital ;24 cm. - Information systems engineering and management,v. 363004-9598 ;. - Information systems engineering and management ;2..

Digital Technology Platforms for Health and Population -- Application of Evolutionary-Simulative Models in Evidence Based Medicine -- National data bases as the basis of clinical guidelines in the provision of medical care in the CIS countries -- Detection of tumor pathology during mass health screenings of citizens over 18 years old -- Impact of Antibiotics on the Microbiome of Aquatic Ecosystems -- Assessment of patients discharged from hospitals.

This book presents an investigation of empirical and theoretical data pertaining to wealth issues based on Digital Platforms and Deployment of Artificial Intelligence across a range of Domains. Digital technologies have rapidly transformed human existence, giving rise to a series of questions surrounding the nature of this transformation, the possible advantages and disadvantages of these technologies, and their potential implications and the directions they may lead us in. The identification of these consequences necessitates coordinated and interdisciplinary research efforts, given the common nature of digitalisation and its deep convergence of various scientific fields. The objective of this book is to provide a foundation for continuous learning and research, thereby equipping readers with the requisite knowledge, instruments and understanding to remain at the forefront of this rapidly evolving environment. The publication of "Digital Technology Platforms and Deployment" serves as a valuable resource for a diverse audience, including students, researchers and scientists specialising in areas such as Healthcare and Population, Computer Science, Artificial Intelligence, Education and Engineering. It is equally suitable for experts and academics/scientists from various scientific disciplines, since it serves as a catalyst for thinking and searching for new areas of research.

ISBN: 9783031865473$q(electronic bk.)

Standard No.: 10.1007/978-3-031-86547-3doiSubjects--Topical Terms:

184390
Information technology.

LC Class. No.: T58.5

Dewey Class. No.: 004

Digital technology platforms and deployment
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520 $a This book presents an investigation of empirical and theoretical data pertaining to wealth issues based on Digital Platforms and Deployment of Artificial Intelligence across a range of Domains. Digital technologies have rapidly transformed human existence, giving rise to a series of questions surrounding the nature of this transformation, the possible advantages and disadvantages of these technologies, and their potential implications and the directions they may lead us in. The identification of these consequences necessitates coordinated and interdisciplinary research efforts, given the common nature of digitalisation and its deep convergence of various scientific fields. The objective of this book is to provide a foundation for continuous learning and research, thereby equipping readers with the requisite knowledge, instruments and understanding to remain at the forefront of this rapidly evolving environment. The publication of "Digital Technology Platforms and Deployment" serves as a valuable resource for a diverse audience, including students, researchers and scientists specialising in areas such as Healthcare and Population, Computer Science, Artificial Intelligence, Education and Engineering. It is equally suitable for experts and academics/scientists from various scientific disciplines, since it serves as a catalyst for thinking and searching for new areas of research.
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