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Artificial Intelligence And Data Science Based Rd Interventions
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Book Synopsis Artificial Intelligence and Data Science Based R&D Interventions by : Ratnajit Bhattacharjee
Download or read book Artificial Intelligence and Data Science Based R&D Interventions written by Ratnajit Bhattacharjee and published by Springer Nature. This book was released on with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Machine Learning and AI for Healthcare by : Arjun Panesar
Download or read book Machine Learning and AI for Healthcare written by Arjun Panesar and published by Apress. This book was released on 2019-02-04 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Artificial Intelligence and Data Science based R&D interventions by : Ratnajit Bhattacharjee
Download or read book Artificial Intelligence and Data Science based R&D interventions written by Ratnajit Bhattacharjee and published by Springer. This book was released on 2023-08-19 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Artificial Intelligence in Healthcare by : Adam Bohr
Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data
Book Synopsis The Dictionary of Artificial Intelligence by : Utku Taşova
Download or read book The Dictionary of Artificial Intelligence written by Utku Taşova and published by Entropol. This book was released on 2023-11-03 with total page 565 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Artificial Intelligence for Data Science in Theory and Practice by : Mohamed Alloghani
Download or read book Artificial Intelligence for Data Science in Theory and Practice written by Mohamed Alloghani and published by Springer Nature. This book was released on 2022-04-05 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis COVID-19: Integrating artificial intelligence, data science, mathematics, medicine and public health, epidemiology, neuroscience, and biomedical science in pandemic management by : Reza Lashgari
Download or read book COVID-19: Integrating artificial intelligence, data science, mathematics, medicine and public health, epidemiology, neuroscience, and biomedical science in pandemic management written by Reza Lashgari and published by Frontiers Media SA. This book was released on 2023-02-09 with total page 1029 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis COVID-19: Integrating Artificial Intelligence, Data Science, Mathematics, Medicine and Public Health, Epidemiology, Neuroscience, Neurorobotics, and Biomedical Science in Pandemic Management, volume II by : Atefeh Abedini
Download or read book COVID-19: Integrating Artificial Intelligence, Data Science, Mathematics, Medicine and Public Health, Epidemiology, Neuroscience, Neurorobotics, and Biomedical Science in Pandemic Management, volume II written by Atefeh Abedini and published by Frontiers Media SA. This book was released on 2024-02-29 with total page 1002 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Data Science by : Pallavi Vijay Chavan
Download or read book Data Science written by Pallavi Vijay Chavan and published by CRC Press. This book was released on 2022-08-15 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Assistive Technology Intervention in Healthcare by : Shruti Jain
Download or read book Assistive Technology Intervention in Healthcare written by Shruti Jain and published by CRC Press. This book was released on 2021-12-31 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis The Science of Health Disparities Research by : Irene Dankwa-Mullan
Download or read book The Science of Health Disparities Research written by Irene Dankwa-Mullan and published by John Wiley & Sons. This book was released on 2021-02-26 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Encyclopedia of Data Science and Machine Learning by : Wang, John
Download or read book Encyclopedia of Data Science and Machine Learning written by Wang, John and published by IGI Global. This book was released on 2023-01-20 with total page 3296 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Philosophy of Artificial Intelligence and Its Place in Society by : Moutinho, Luiz
Download or read book Philosophy of Artificial Intelligence and Its Place in Society written by Moutinho, Luiz and published by IGI Global. This book was released on 2023-10-16 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 :Management Association, Information Resources Publisher :IGI Global ISBN 13 :1668475456 Total Pages :1671 pages Book Rating :4.6/5 (684 download)
Book Synopsis Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention by : Management Association, Information Resources
Download or read book Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention written by Management Association, Information Resources and published by IGI Global. This book was released on 2022-09-09 with total page 1671 pages. Available in PDF, EPUB and Kindle. Book excerpt: Medical imaging provides medical professionals the unique ability to investigate and diagnose injuries and illnesses without being intrusive. With the surge of technological advancement in recent years, the practice of medical imaging has only been improved through these technologies and procedures. It is essential to examine these innovations in medical imaging to implement and improve the practice around the world. The Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention investigates and presents the recent innovations, procedures, and technologies implemented in medical imaging. Covering topics such as automatic detection, simulation in medical education, and neural networks, this major reference work is an excellent resource for radiologists, medical professionals, hospital administrators, medical educators and students, librarians, researchers, and academicians.
Book Synopsis Handbook of Intervention and Alzheimer’s Disease by : C.A. Raji
Download or read book Handbook of Intervention and Alzheimer’s Disease written by C.A. Raji and published by IOS Press. This book was released on 2024-02-22 with total page 768 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Data science and digital service delivery in healthcare by : Koichi Fujiwara
Download or read book Data science and digital service delivery in healthcare written by Koichi Fujiwara and published by Frontiers Media SA. This book was released on 2023-02-07 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Instructional Design Exemplars in eHealth and mHealth Education Interventions by : Tamim, Suha R.
Download or read book Instructional Design Exemplars in eHealth and mHealth Education Interventions written by Tamim, Suha R. and published by IGI Global. This book was released on 2022-03-18 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
