Geospatial Data Science In Healthcare For Society 5 0
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Geospatial Data Science In Healthcare For Society 5 0
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Author : Pradeep Kumar Garg
language : en
Publisher: Springer Nature
Release Date : 2022-03-10
Geospatial Data Science In Healthcare For Society 5 0 written by Pradeep Kumar Garg and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-10 with Computers categories.
The book introduces a variety of latest techniques designed to represent, enhance, and empower multi-disciplinary approaches of geographic information system (GIS), artificial intelligence (AI), deep learning (DL), machine learning, and cloud computing research in healthcare. It provides a unique compendium of the current and emerging use of geospatial data for healthcare and reflects the diversity, complexity, and depth and breadth of this multi-disciplinary area. This book addresses various aspects of how smart healthcare devices can be used to detect and analyze diseases. Further, it describes various tools and techniques to evaluate the efficacy, suitability, and efficiency of geospatial data for health-related applications. It features illustrative case studies, including future applications and healthcare challenges. This book is beneficial for computer science and engineering students and researchers, medical professionals, and anyone interested in using geospatial data in healthcare. It is also intended for experts, offering them a valuable retrospective and a global vision for the future, as well as for non-experts who are curious to learn about this important subject. The book presents an effort to draw how we can build health-related applications using geospatial big data and their subsequent analysis.
Advances In Computational Intelligence For The Healthcare Industry 4 0
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Author : Shah, Imdad Ali
language : en
Publisher: IGI Global
Release Date : 2024-04-26
Advances In Computational Intelligence For The Healthcare Industry 4 0 written by Shah, Imdad Ali and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-26 with Medical categories.
In the dynamic environment of healthcare, the fusion of Computational Intelligence and Healthcare Industry 4.0 has enabled remarkable advancements in disease detection and analysis. However, a critical challenge persists – the limitations of current computational intelligence approaches in dealing with small sample sizes. This setback hampers the performance of these innovative models, hindering their potential impact on medical applications. As we stand at the crossroads of technological innovation and healthcare evolution, the need for a solution becomes paramount. Advances in Computational Intelligence for the Healthcare Industry 4.0 is a comprehensive guide addressing the very heart of this challenge. Designed for academics, researchers, healthcare professionals, and stakeholders in Healthcare Industry 4.0, this book serves as a source of innovation. It not only illuminates the complexities of computational intelligence in healthcare but also provides a roadmap for overcoming the limitations posed by small sample sizes. From fundamental principles to innovative concepts, this book offers a holistic perspective, shaping the future of healthcare through the lens of computational intelligence and Healthcare Industry 4.0.
Emerging Trends Techniques And Applications In Geospatial Data Science
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Author : Gaur, Loveleen
language : en
Publisher: IGI Global
Release Date : 2023-04-24
Emerging Trends Techniques And Applications In Geospatial Data Science written by Gaur, Loveleen and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-24 with Technology & Engineering categories.
With the emergence of smart technology and automated systems in today’s world, big data is being incorporated into many applications. Trends in data can be detected and objects can be tracked based on the real-time data that is utilized in everyday life. These connected sensor devices and objects will provide a large amount of data that is to be analyzed quickly, as it can accelerate the transformation of smart technology. The accuracy of prediction of artificial intelligence (AI) systems is drastically increasing by using machine learning and other probability and statistical approaches. Big data and geospatial data help to solve complex issues and play a vital role in future applications. Emerging Trends, Techniques, and Applications in Geospatial Data Science provides an overview of the basic concepts of data science, related tools and technologies, and algorithms for managing the relevant challenges in real-time application domains. The book covers a detailed description for readers with practical ideas using AI, the internet of things (IoT), and machine learning to deal with the analysis, modeling, and predictions from big data. Covering topics such as field spectra, high-resolution sensing imagery, and spatiotemporal data engineering, this premier reference source is an excellent resource for data scientists, computer and IT professionals, managers, mathematicians and statisticians, health professionals, technology developers, students and educators of higher education, librarians, researchers, and academicians.
Data Science For Healthcare
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Author : Sergio Consoli
language : en
Publisher: Springer
Release Date : 2019-02-23
Data Science For Healthcare written by Sergio Consoli and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-23 with Computers categories.
This book seeks to promote the exploitation of data science in healthcare systems. The focus is on advancing the automated analytical methods used to extract new knowledge from data for healthcare applications. To do so, the book draws on several interrelated disciplines, including machine learning, big data analytics, statistics, pattern recognition, computer vision, and Semantic Web technologies, and focuses on their direct application to healthcare. Building on three tutorial-like chapters on data science in healthcare, the following eleven chapters highlight success stories on the application of data science in healthcare, where data science and artificial intelligence technologies have proven to be very promising. This book is primarily intended for data scientists involved in the healthcare or medical sector. By reading this book, they will gain essential insights into the modern data science technologies needed to advance innovation for both healthcare businesses and patients. A basic grasp of data science is recommended in order to fully benefit from this book.
Department Of The Interior And Related Agencies Appropriations For 1998
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Author : United States. Congress. House. Committee on Appropriations. Subcommittee on Department of the Interior and Related Agencies
language : en
Publisher:
Release Date : 1997
Department Of The Interior And Related Agencies Appropriations For 1998 written by United States. Congress. House. Committee on Appropriations. Subcommittee on Department of the Interior and Related Agencies and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Political Science categories.
Geospatial Analysis Of Public Health
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Author : Gouri Sankar Bhunia
language : en
Publisher: Springer
Release Date : 2018-12-29
Geospatial Analysis Of Public Health written by Gouri Sankar Bhunia and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-29 with Science categories.
This book is specifically designed to serve the community of postgraduates and researchers in the fields of epidemiology, health GIS, medical geography, and health management. It starts with the basic concepts and role of remote sensing, GIS in Kala-azar diseases. The book gives an exhaustive coverage of Satellite data, GPS, GIS, spatial and attribute data modeling, and geospatial analysis of Kala-azar diseases. It also presents the modern trends of remote sensing and GIS in health risk assessment with an illustrated discussion on its numerous applications.
Department Of The Interior And Related Agencies Appropriations For 1998 Justification Of The Budget Estimates U S Geological Survey
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Author : United States. Congress. House. Committee on Appropriations. Subcommittee on Department of the Interior and Related Agencies
language : en
Publisher:
Release Date : 1997
Department Of The Interior And Related Agencies Appropriations For 1998 Justification Of The Budget Estimates U S Geological Survey written by United States. Congress. House. Committee on Appropriations. Subcommittee on Department of the Interior and Related Agencies and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with United States categories.
Intelligent Systems In Digital Transformation
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Author : Cengiz Kahraman
language : en
Publisher: Springer Nature
Release Date : 2022-11-14
Intelligent Systems In Digital Transformation written by Cengiz Kahraman and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-14 with Technology & Engineering categories.
This book states that intelligent digital transformation is the process of using artificial intelligence techniques in digital technologies such as machine learning, natural language processing, automation and robotics to transform existing non-digital business processes and services to meet with the evolving market and customer expectations. This book including 26 chapters, each written by their experts, focuses on revealing the reflection of digital transformation in our business and social life under emerging conditions through intelligent systems. Intelligent digital transformation examples from almost all sectors including health, education, manufacturing, tourism, insurance, smart cities, banking, energy and transportation are introduced by theory and applications. The intended readers are managers responsible for digital transformation, intelligent systems researchers, lecturers, and MSc and PhD students studying digital transformation.
Society 5 0 Digital Transformation And Disasters
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Author : Sakiko Kanbara
language : en
Publisher: Springer Nature
Release Date : 2022-10-25
Society 5 0 Digital Transformation And Disasters written by Sakiko Kanbara and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-25 with Nature categories.
This book presents the evolution of the science technology paradigm in Japan and analyzes the critical community and local governance issues from the perspectives of the changing risk landscape, Society 5.0, and digital transformation. It also provides suggestions for the future development of a resilient society and community, by drawing lessons from other countries. Advancements in science technology in recent decades in Japan and the world might have increased our capacity to tackle the adverse human consequences of various kinds of disasters and environmental issues. However, the accompanied and interlinking phenomena of urbanization, climate change, rural to urban migration, population decreases, and aged population have posed new challenges, especially in the small, medium-sized cities, and in rural areas of Japan. This is also enhanced by the risk of cascading, complex and systemic risk, which is defining a new normal as “living with uncertainties”. Society 5.0 is defined as "A human-centered society that balances economic advancement with the resolution of social problems by a system that highly integrates cyberspace and physical space." Society 5.0 was proposed in the 5th Science and Technology Basic Plan as a future society that Japan should aspire to. Society 5.0 achieves a high degree of convergence between cyberspace (virtual space) and physical space (real space), compared with the past information society (Society 4.0) that people would access a cloud service (databases) in cyberspace via the Internet and search for, retrieve, and analyze information or data. In Japan, in the initial stage, a great deal of confusion about the number of people infected with coronavirus occurred. Not only made it inefficient, but it did not produce the accurate data needed for critical decisions. Japan may have unique disadvantages compared with other countries. Trying to drive digitization without thoroughly understanding these disadvantages and addressing them head-on will only lead to failed digital transformations. With these three pillars of changing risk landscape, Society 5.0, and Digital transformation drive, the book will analyze the evolution of the science technology paradigm in Japan, will go deeper into the critical community and local governance issues, and will provide suggestions for future development of resilient society and community, by drawing lessons from overseas disaster risk reduction.
Encyclopedia Of Data Science And Machine Learning
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Author : Wang, John
language : en
Publisher: IGI Global
Release Date : 2023-01-20
Encyclopedia Of Data Science And Machine Learning written by Wang, John and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-20 with Computers categories.
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.