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Author : Ratnajit Bhattacharjee
Publisher : Springer Nature
Page : 227 pages
File Size : 50,5 Mb
Release : 2024-07-03
Category : Electronic
ISBN : 9789819926091
Author : Arjun Panesar
Publisher : Apress
Page : 390 pages
File Size : 42,8 Mb
Release : 2019-02-04
Category : Computers
ISBN : 9781484237991
Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges. You’ll discover the ethical implications of healthcare data analytics and the future of AI in population and patient health optimization. You’ll also create a machine learning model, evaluate performance and operationalize its outcomes within your organization. Machine Learning and AI for Healthcare provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of AI applications. These are illustrated through leading case studies, including how chronic disease is being redefined through patient-led data learning and the Internet of Things. What You'll LearnGain a deeper understanding of key machine learning algorithms and their use and implementation within wider healthcare Implement machine learning systems, such as speech recognition and enhanced deep learning/AI Select learning methods/algorithms and tuning for use in healthcare Recognize and prepare for the future of artificial intelligence in healthcare through best practices, feedback loops and intelligent agentsWho This Book Is For Health care professionals interested in how machine learning can be used to develop health intelligence – with the aim of improving patient health, population health and facilitating significant care-payer cost savings.
Author : Utku Taşova
Publisher : Entropol
Page : 565 pages
File Size : 41,7 Mb
Release : 2023-11-03
Category : Computers
ISBN : 8210379456XXX
Unveiling the Future: Your Portal to Artificial Intelligence Proficiency In the epoch of digital metamorphosis, Artificial Intelligence (AI) stands as the vanguard of a new dawn, a nexus where human ingenuity intertwines with machine precision. As we delve deeper into this uncharted realm, the boundary between the conceivable and the fantastical continually blurs, heralding a new era of endless possibilities. The Dictionary of Artificial Intelligence, embracing a compendium of 3,300 meticulously curated titles, endeavors to be the torchbearer in this journey of discovery, offering a wellspring of knowledge to both the uninitiated and the adept. Embarking on the pages of this dictionary is akin to embarking on a voyage through the vast and often turbulent seas of AI. Each entry serves as a beacon, illuminating complex terminologies, core principles, and the avant-garde advancements that characterize this dynamic domain. The dictionary is more than a mere compilation of terms; it's a labyrinth of understanding waiting to be traversed. The Dictionary of Artificial Intelligence is an endeavor to demystify the arcane, to foster a shared lexicon that enhances collaboration, innovation, and comprehension across the AI community. It's a mission to bridge the chasm between ignorance and insight, to unravel the intricacies of AI that often seem enigmatic to the outsiders. This profound reference material transcends being a passive repository of terms; it’s an engagement with the multifaceted domain of artificial intelligence. Each title encapsulated within these pages is a testament to the audacity of human curiosity and the unyielding quest for advancement that propels the AI domain forward. The Dictionary of Artificial Intelligence is an invitation to delve deeper, to grapple with the lexicon of a field that stands at the cusp of redefining the very fabric of society. It's a conduit through which the curious become enlightened, the proficient become masters, and the innovators find inspiration. As you traverse through the entries of The Dictionary of Artificial Intelligence, you are embarking on a journey of discovery. A journey that not only augments your understanding but also ignites the spark of curiosity and the drive for innovation that are quintessential in navigating the realms of AI. We beckon you to commence this educational expedition, to explore the breadth and depth of AI lexicon, and to emerge with a boundless understanding and an unyielding resolve to contribute to the ever-evolving narrative of artificial intelligence. Through The Dictionary of Artificial Intelligence, may your quest for knowledge be as boundless and exhilarating as the domain it explores.
Author : Mohamed Alloghani,Christopher Thron,Saad Subair
Publisher : Springer Nature
Page : 258 pages
File Size : 51,5 Mb
Release : 2022-04-05
Category : Technology & Engineering
ISBN : 9783030922450
This book provides valuable information on effective, state-of-the-art techniques and approaches for governments, students, researchers, practitioners, entrepreneurs and teachers in the field of artificial intelligence (AI). The book explains the data and AI, types and properties of data, the relation between AI algorithms and data, what makes data AI ready, steps of data pre-processing, data quality, data storage and data platforms. Therefore, this book will be interested by AI practitioners, academics, researchers, and lecturers in computer science, artificial intelligence, machine learning and data sciences.
Author : Reza Lashgari,Atefeh Abedini,Babak A. Ardekani,Arda Kiani,Seyed Alireza Nadji,Ali Yousefi
Publisher : Frontiers Media SA
Page : 1029 pages
File Size : 48,9 Mb
Release : 2023-02-09
Category : Medical
ISBN : 9782889766017
Author : Atefeh Abedini,Reza Lashgari
Publisher : Frontiers Media SA
Page : 1002 pages
File Size : 45,5 Mb
Release : 2024-02-29
Category : Science
ISBN : 9782832545461
Author : Pallavi Vijay Chavan,Parikshit N Mahalle,Ramchandra Mangrulkar,Idongesit Williams
Publisher : CRC Press
Page : 322 pages
File Size : 50,7 Mb
Release : 2022-08-15
Category : Computers
ISBN : 9781000613421
This book covers the topic of data science in a comprehensive manner and synthesizes both fundamental and advanced topics of a research area that has now reached its maturity. The book starts with the basic concepts of data science. It highlights the types of data and their use and importance, followed by a discussion on a wide range of applications of data science and widely used techniques in data science. Key Features • Provides an internationally respected collection of scientific research methods, technologies and applications in the area of data science. • Presents predictive outcomes by applying data science techniques to real-life applications. • Provides readers with the tools, techniques and cases required to excel with modern artificial intelligence methods. • Gives the reader a variety of intelligent applications that can be designed using data science and its allied fields. The book is aimed primarily at advanced undergraduates and graduates studying machine learning and data science. Researchers and professionals will also find this book useful.
Author : Ratnajit Bhattacharjee,Debanga Raj Neog,Konda Reddy Mopuri,Santosh Kumar Vipparthi
Publisher : Springer
Page : 0 pages
File Size : 52,9 Mb
Release : 2023-08-19
Category : Computers
ISBN : 9819926084
This book title is a composition of multiple research efforts that are based on cutting-edge Artificial Intelligence (AI) techniques. Some of the signal processing problems are addressed with techniques from the broad areas of machine learning and deep learning.
Author : Shruti Jain,Sudip Paul
Publisher : CRC Press
Page : 294 pages
File Size : 53,5 Mb
Release : 2021-12-31
Category : Computers
ISBN : 9781000514049
Assistive Technology Intervention in Healthcare focuses on various applications of intelligent techniques in biomedical engineering and health informatics. It aims to create awareness about disability reduction and recovery of accidental disability with the help of various rehabilitative systems. Novel technologies in disability treatment, management and assistance, including healthcare devices and their utility from home to hospital, are described. The book deals with simulation, modeling, measurement, control, analysis, information extraction and monitoring of physiological data in clinical medicine and biology. Features Covers the latest evolutionary approaches to solve optimization problems in the biomedical engineering field Explains machine learning–based approaches to improvement in health engineering areas Reviews the IoT, cloud computing and data analytics in healthcare informatics Discusses modeling and simulations in the design of biomedical equipment Explores monitoring of physiological data This book is aimed at researchers and graduate students in biomedical engineering, clinical engineering and bioinformatics.
Author : Koichi Fujiwara,Tetsuharu Nagamoto,Priit Kruus
Publisher : Frontiers Media SA
Page : 138 pages
File Size : 46,9 Mb
Release : 2023-02-07
Category : Medical
ISBN : 9782832513743
Author : Wang, John
Publisher : IGI Global
Page : 3296 pages
File Size : 51,9 Mb
Release : 2023-01-20
Category : Computers
ISBN : 9781799892212
Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.
Author : Moutinho, Luiz,Cavique, Luís,Bigné, Enrique
Publisher : IGI Global
Page : 461 pages
File Size : 48,5 Mb
Release : 2023-10-16
Category : Computers
ISBN : 9781668495933
The early 2020s have been marked by a surge of interest in artificial intelligence (AI), and it has grown to be one of the hottest topics in computer science, business technology research, and educational technologies. Despite AI winters in the 1970s and 1990s, where interest and subsequently adequate funding for AI research ceased, and as the technology and its usefulness become more perceptible, often with brilliant results, society is once again ready to investigate this powerful technology and its potential. However, a challenge arises when AI is called into question in an ethical context. It is important that we explore how it can contribute to the resolution of ethical, social, and environmental issues and also to address growing concerns around AI developing emergent bias as well as the human application of AI for malicious purposes. With recent AI-based writing technologies, concerns around academic integrity abound and challenge our perceptions of authenticity in writing. A careful assessment of these technologies, their usefulness and potential harm, and strategic solutions to maintaining ethical standards and regulation of the technology is a necessity for the maintenance of civilized life amidst these tools. Philosophy of Artificial Intelligence and Its Place in Society evaluates various aspects of artificial intelligence including the range of technologies, their advantages and disadvantages, and how AI systems operate. Spanning from machine learning to deep learning, philosophical insights, societal concerns, and the newest approaches to AI, it helps to develop an appreciation for and breadth of knowledge across the full range of AI sub-disciplines including neural networks, evolutionary computation, computer vision, robotics, expert systems, speech processing, and natural language processing. Led Dr. Luiz Moutinho of the University of Suffolk in the United Kingdom, who has won several awards for his academic literature, this book provides academic market-scholars; researchers and students of philosophy, sociology, economics, and education; as well as corporate scientists with a comprehensive collection of core research elements, concepts, advances, applications, evidence, and outcomes related to artificial intelligence.
Author : Tamim, Suha R.
Publisher : IGI Global
Page : 323 pages
File Size : 55,7 Mb
Release : 2022-03-18
Category : Medical
ISBN : 9781799894926
The use of eHealth and mHealth interventions for health promotion, health professional education, and health professional support is on the rise. They have a significant potential for learning through their wide reach, ability to tailor to specific needs, and facilitation of engagement, interactivity, and collaboration. Although eHealth and mHealth interventions are invested in quality and effectiveness, they vary in their use of theory and instructional design principles based on the perspectives of the disciplines that can influence their work. Instructional Design Exemplars in eHealth and mHealth Education Interventions showcases design exemplars of eHealth and mHealth interventions in health promotion and in education and support of health professionals. These exemplars demonstrate the integration of theory and design principles that benefit health professionals and health education. Covering topics such as healthcare access, instructional technology, and diverse learning experiences, this book is a dynamic resource for health professionals, instructional designers, educators, researchers, hospital administrators, policymakers, researchers, and academicians.
Author : C.A. Raji,Y. Leng,J.W. Ashford
Publisher : IOS Press
Page : 768 pages
File Size : 40,5 Mb
Release : 2024-02-22
Category : Medical
ISBN : 9781643685014
It is almost 120 years since Alzheimer’s disease (AD) was first reported, and the concept of managing some of the modifiable risk factors associated with the disease has been present from the outset. Intervening to manage risk factors as a way of tackling AD is not new, but optimizing brain health as a way of minimizing risk and maximizing the potential benefits of revolutionary new treatments for AD is becoming increasingly important. This book, the Handbook of Intervention and Alzheimer’s Disease, presents 47 papers exploring factors which may either inspire or inform future treatment and clinical trials. While novel interventions such as anti-amyloid immunotherapy present great opportunities, they may also increase the risk of brain bleeds and edema, which in turn may lead to adverse clinical outcomes. Such adverse outcomes are demonstrably more likely to occur in persons with poor brain health, so improved management of the risk factors which make up the AD preventome will also minimize the risks associated with such novel therapies. The papers in this volume can therefore be thought of as offering insight into those factors that can optimize brain health or providing key insights into interventions which may achieve such outcomes. Together with its companion volume on prevention, the book provides a comprehensive overview of strategies for tackling Alzheimer’s disease, and will be of interest to all those working in the field. Cover illustration: Improved hypoperfusion (resolving blue colors) on ASL MRI Z-score maps superimposed on structural MRI scans at baseline and one year in a PET amyloid-positive research participant with cognitive complaints undergoing one year of multi-domain personalized brain health interventions (vascular disease management, dietary optimization, sustained physical activity etc.). Permission to use this figure was granted both by the study P.I. Dr. David Merrill, MD, PhD, of the Pacific Neuroscience Institute and the research participant.
Author : Irene Dankwa-Mullan,Eliseo J. Pérez-Stable,Kevin L. Gardner,Xinzhi Zhang,Adelaida M. Rosario
Publisher : John Wiley & Sons
Page : 528 pages
File Size : 40,7 Mb
Release : 2021-02-26
Category : Science
ISBN : 9781119374831
Integrates the various disciplines of the science of health disparities in one comprehensive volume The Science of Health Disparities Research is an indispensable source of up-to-date information on clinical and translational health disparities science. Building upon the advances in health disparities research over the past decade, this authoritative volume informs policies and practices addressing the diseases, disorders, and gaps in health outcomes that are more prevalent in minority populations and socially disadvantaged communities. Contributions by recognized scholars and leaders in the field—featuring contemporary research, conceptual models, and a broad range of scientific perspectives—provide an interdisciplinary approach to reducing inequalities in population health, encouraging community engagement in the research process, and promoting social justice. In-depth chapters help readers better understand the specifics of minority health and health disparities while demonstrating the importance of advancing theory, refining measurement, improving investigative methods, and diversifying scientific research. In 26 chapters, the book examines topics including the etiology of health disparities research, the determinants of population health, research ethics, and research in African American, Asians, Latino, American Indian, and other vulnerable populations. Providing a unified framework on the principles and applications of the science of health disparities research, this important volume: Defines the field of health disparities science and suggests new directions in scholarship and research Explains basic definitions, principles, and concepts for identifying, understanding and addressing health disparities Provides guidance on both conducting health disparities research and translating the results Examines how social, historical and contemporary injustices may influence the health of racial and ethnic minorities Illustrates the increasing national and global importance of addressing health disparities Discusses population health training, capacity-building, and the transdisciplinary tools needed to advance health equity A significant contribution to the field, The Science of Health Disparities Research is an essential resource for students and basic and clinical researchers in genetics, population genetics, and public health, health care policymakers, and epidemiologists, medical students, and clinicians, particularly those working with minority, vulnerable, or underserved populations.