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Handbook Of Ai Based Models In Healthcare And Medicine


Handbook Of Ai Based Models In Healthcare And Medicine
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Handbook Of Ai Based Models In Healthcare And Medicine


Handbook Of Ai Based Models In Healthcare And Medicine
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Author : Bhanu Chander
language : en
Publisher: CRC Press
Release Date : 2024-02-21

Handbook Of Ai Based Models In Healthcare And Medicine written by Bhanu Chander and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-21 with Computers categories.


This handbook provides thorough, in-depth, and well-focused developments of artificial intelligence (AI), machine learning (ML), deep learning (DL), natural language processing (NLP), cryptography, and blockchain approaches, along with their applications focused on healthcare systems. Handbook of AI-Based Models in Healthcare and Medicine: Approaches, Theories, and Applications highlights different approaches, theories, and applications of intelligent systems from a practical as well as a theoretical view of the healthcare domain. It uses a medically oriented approach in its discussions of human biology, healthcare, and medicine and presents NLP-based medical reports and medicine enhancements. The handbook includes advanced models of ML and DL for the management of healthcare systems and also discusses blockchain-based healthcare management. In addition, the handbook offers use cases where AI, ML, and DL can help solve healthcare complications. Undergraduate and postgraduate students, academicians, researchers, and industry professionals who have an interest in understanding the applications of ML/DL in the healthcare setting will want this reference on their bookshelf.



Handbook Of Ai Based Models In Healthcare And Medicine


Handbook Of Ai Based Models In Healthcare And Medicine
DOWNLOAD
Author : Bhanu Chander
language : en
Publisher:
Release Date : 2024

Handbook Of Ai Based Models In Healthcare And Medicine written by Bhanu Chander and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with categories.


"This handbook provides thorough, in-depth, and well-focused developments of AI, ML, DL, NLP, cryptography, and Blockchain approaches along with their applications focused on healthcare systems. Handbook of AI-Based Models in Healthcare and Medicine: Approaches, Theories, and Applications highlights different approaches, theories, and applications of intelligent systems from a practical as well as a theoretical view of the healthcare domain. It uses a medically oriented approach in its discussions of human biology, healthcare, and medicine and presents Natural Language Processing (NLP) based medical reports and medicine enhancements. The handbook includes advanced models of Machine Learning (ML) and Deep Learning (DL) for the management of healthcare systems and also discusses Blockchain-based healthcare management. In addition, the handbook offers use cases where AI, ML, and DL can help solve healthcare complications. Undergraduate and postgraduate students, academicians, researchers, and industry professionals who have an interest in understanding the applications of ML/DL in the healthcare setting will want this reference on their bookshelf"--



Exploring The Advancements And Future Directions Of Digital Twins In Healthcare 6 0


Exploring The Advancements And Future Directions Of Digital Twins In Healthcare 6 0
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Author : Dubey, Archi
language : en
Publisher: IGI Global
Release Date : 2024-07-18

Exploring The Advancements And Future Directions Of Digital Twins In Healthcare 6 0 written by Dubey, Archi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-18 with Computers categories.


The healthcare industry is increasingly complex, demanding personalized treatments and efficient operational processes. Traditional research methods need help to keep pace with these demands, often leading to inefficiencies and suboptimal outcomes. Integrating digital twin technology presents a promising solution to these challenges, offering a virtual platform for modeling and simulating complex healthcare scenarios. However, the full potential of digital twins still needs to be explored mainly due to a lack of comprehensive guidance and practical insights for researchers and practitioners. Exploring the Advancements and Future Directions of Digital Twins in Healthcare 6.0 is not just a theoretical exploration. It is a practical guide that bridges the gap between theory and practice, offering real-world case studies, best practices, and insights into personalized medicine, real-time patient monitoring, and healthcare process optimization. By equipping you with the knowledge and tools needed to effectively integrate digital twins into your healthcare research and operations, this book is a valuable resource for researchers, academicians, medical practitioners, scientists, and students.



Generative Artificial Intelligence Ai Approaches For Industrial Applications


Generative Artificial Intelligence Ai Approaches For Industrial Applications
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Author : Narasimha Rao Vajjhala
language : en
Publisher: Springer Nature
Release Date : 2025-02-03

Generative Artificial Intelligence Ai Approaches For Industrial Applications written by Narasimha Rao Vajjhala and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-03 with Computers categories.


"Generative Artificial Intelligence (AI) Approaches for Industrial Applications" explores the transformative potential of Generative AI technologies across various industries. With contributions from international scholars and experts, this book provides a comprehensive overview of the latest trends, mathematical foundations, and practical applications of Generative AI models. Key sections examine the fundamental concepts of Generative AI, including Generative Adversarial Networks (GANs) and their ethical and security considerations. Special attention is given to the revolutionary impact of Generative AI in healthcare technologies, clinical decision-making, and predictive maintenance within the manufacturing sector. Additionally, the role of Generative AI in FinTech, particularly in redefining business models and enhancing digital security, is thoroughly examined. This book features cutting-edge research on text summarization, age progression using GANs, and integrating AI with regulatory practices. This book is a vital resource for academics, professionals, and practitioners bridging the gap between theoretical AI frameworks and their real-world industrial applications, offering insights into how Generative AI is shaping the future of industries worldwide.



Revolutionizing Healthcare Services


Revolutionizing Healthcare Services
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Author : Babita Singla
language : en
Publisher: CRC Press
Release Date : 2025-06-10

Revolutionizing Healthcare Services written by Babita Singla and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-10 with Technology & Engineering categories.


The increasing prominence of generative AI across various industries presents an abundance of opportunities for integration within the healthcare sector. From generating valuable insights about patients to automating operations, streamlining patient care, and implementing preventive technologies, the use of generative AI has the potential to usher in a new era of productivity and profitability for stakeholders within the healthcare ecosystem. Revolutionizing Healthcare Services: Unleashing Innovation through Generative AI explores the current and potential applications of generative AI in the healthcare sector. It covers regulatory frameworks, ethical considerations, practical applications, and real-world use cases. The book also provides a forward-looking perspective to help the healthcare industry keep pace with the integration of generative AI and its applications. In addition, it looks at the future potential of generative AI in conjunction with blockchain, machine learning, and predictive modeling to create electronic health records that can be shared across the healthcare ecosystem. By examining the detailed insights on how to integrate generative AI models with existing healthcare systems, the potential to enhance patient care services can be brought to the forefront. Practical strategies are also discussed to seamlessly integrate generative AI into healthcare services, ensuring prompt, reliable, and efficient care while prioritizing urgent needs. This book aims to equip healthcare professionals with the knowledge and tools needed to leverage generative AI for superior patient care delivery. It is designed to appeal to a wide range of audiences, including healthcare professionals, generative AI developers, data scientists, healthcare practitioners, patients, educators, policymakers, and those with the knowledge and tools needed to leverage generative AI for superior patient care delivery. The coverage, diverse perspective, and practical approach make it suitable for both beginners looking for an introduction to generative AI and experienced experts.



Handbook Of Artificial Intelligence In Healthcare


Handbook Of Artificial Intelligence In Healthcare
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Author : Chee-Peng Lim
language : en
Publisher: Springer Nature
Release Date : 2021-11-26

Handbook Of Artificial Intelligence In Healthcare written by Chee-Peng Lim and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-26 with Technology & Engineering categories.


Artificial Intelligence (AI) has transformed many aspects of our daily activities. Health and well-being of humans stand as one of the key domains where AI has achieved significant progresses, saving time, costs, and potentially lives, as well as fostering economic resilience, particularly under the COVID-19 pandemic environments. This book is a sequel of the Handbook of Artificial Intelligence in Healthcare. The first volume of the Handbook is dedicated to present advances and applications of AI methodologies in several specific areas, i.e., signal, image, and video processing as well as information and data analytics. In this second volume of the Handbook, general practicality challenges and future prospects of AI methodologies pertaining to healthcare and related domains are presented in Part 1 and Part 2, respectively. It is envisaged that the selected studies will provide readers a general perspective on the issues, challenges, and opportunities in designing, developing, and implementing AI-based tools and solutions in the healthcare sector, bringing benefits to transform and advance health and well-being development of humans..



Handbook Of Healthcare Analytics


Handbook Of Healthcare Analytics
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Author : Tinglong Dai
language : en
Publisher: John Wiley & Sons
Release Date : 2018-07-30

Handbook Of Healthcare Analytics written by Tinglong Dai and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-30 with Business & Economics categories.


How can analytics scholars and healthcare professionals access the most exciting and important healthcare topics and tools for the 21st century? Editors Tinglong Dai and Sridhar Tayur, aided by a team of internationally acclaimed experts, have curated this timely volume to help newcomers and seasoned researchers alike to rapidly comprehend a diverse set of thrusts and tools in this rapidly growing cross-disciplinary field. The Handbook covers a wide range of macro-, meso- and micro-level thrusts—such as market design, competing interests, global health, personalized medicine, residential care and concierge medicine, among others—and structures what has been a highly fragmented research area into a coherent scientific discipline. The handbook also provides an easy-to-comprehend introduction to five essential research tools—Markov decision process, game theory and information economics, queueing games, econometric methods, and data science—by illustrating their uses and applicability on examples from diverse healthcare settings, thus connecting tools with thrusts. The primary audience of the Handbook includes analytics scholars interested in healthcare and healthcare practitioners interested in analytics. This Handbook: Instills analytics scholars with a way of thinking that incorporates behavioral, incentive, and policy considerations in various healthcare settings. This change in perspective—a shift in gaze away from narrow, local and one-off operational improvement efforts that do not replicate, scale or remain sustainable—can lead to new knowledge and innovative solutions that healthcare has been seeking so desperately. Facilitates collaboration between healthcare experts and analytics scholar to frame and tackle their pressing concerns through appropriate modern mathematical tools designed for this very purpose. The handbook is designed to be accessible to the independent reader, and it may be used in a variety of settings, from a short lecture series on specific topics to a semester-long course.



Multi Objective Multi Class And Multi Label Data Classification With Class Imbalance


Multi Objective Multi Class And Multi Label Data Classification With Class Imbalance
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Author : Sanjay Chakraborty
language : en
Publisher: Springer Nature
Release Date : 2024-12-22

Multi Objective Multi Class And Multi Label Data Classification With Class Imbalance written by Sanjay Chakraborty and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-22 with Computers categories.


This book explores intricate world of data classification with 'Multi-Objective, Multi-Class, and Multi-Label Data Classification.' This book studies sophisticated methods and strategies for working with complicated data sets, tackling the difficulties of various classes, many objectives, and complicated labelling tasks. This resource fosters a deeper grasp of multi-dimensional data analysis in today's data-driven world by providing readers with the skills and insights needed to navigate the subtleties of modern classification jobs, from algorithmic techniques to practical applications.



Advancements In Cloud Based Intelligent Informative Engineering


Advancements In Cloud Based Intelligent Informative Engineering
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Author : Kishor, Kaushal
language : en
Publisher: IGI Global
Release Date : 2025-04-17

Advancements In Cloud Based Intelligent Informative Engineering written by Kishor, Kaushal and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-17 with Technology & Engineering categories.


In this ever-changing world, the rapid evolution of cloud computing and AI has paved the way for advancements in cloud-based intelligent engineering. This emerging field integrates cloud computing, big data, and AI to enhance the efficiency and automation of engineering processes. By leveraging cloud-based intelligent systems, industries can optimize data management, improve real-time collaboration, and drive innovation across various engineering domains. Advancements in Cloud-Based Intelligent Informative Engineering explores technological advancements and devices in cloud technology. It examines cloud-based intelligent system approaches and developments in informative engineering. This book covers topics such as IoT, machine learning, and blockchain, and is a useful resource for researchers, engineers, business owners, academicians, and scientists.



Handbook Of Artificial Intelligence And Wearables


Handbook Of Artificial Intelligence And Wearables
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Author : Hemachandran K
language : en
Publisher: CRC Press
Release Date : 2024-04-04

Handbook Of Artificial Intelligence And Wearables written by Hemachandran K and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-04 with Computers categories.


The ever-changing world of wearable technologies makes it difficult for experts and practitioners to keep up with the most recent developments. This handbook provides a solid understanding of the significant role that AI plays in the design and development of wearable technologies along with applications and case studies. Handbook of Artificial Intelligence and Wearables: Applications and Case Studies presents a deep understanding of AI and its involvement in wearable technologies. The book discusses the key role that AI plays and goes on to discuss the challenges and possible solutions. It highlights the more recent advances along with real-world approaches for the design and development of the most popular AI-enabled wearable devices such as smart fitness trackers, AI-enabled glasses, sports wearables, disease diagnostic devices, and more, complete with case studies. This book will be a valuable source for researchers, academics, technologists, industrialists, practitioners, and all people who wish to explore the applications of AI and the part it plays in wearable technologies.