Non Communicable Diseases Big Data And Artificial Intelligence
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Non Communicable Diseases Big Data And Artificial Intelligence
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Author : Youxin Wang
language : en
Publisher: Mdpi AG
Release Date : 2022-08-04
Non Communicable Diseases Big Data And Artificial Intelligence written by Youxin Wang and has been published by Mdpi AG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-04 with categories.
This reprint includes 15 articles in the field of non-communicable Diseases, big data, and artificial intelligence, overviewing the most recent advances in the field of AI and their application potential in 3P medicine.
Artificial Intelligence In Healthcare An Analysis Of The Link Of Ai To Health Promotion And Prevention Programs To Face And Early Detect Non Communicable Diseases
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Author : Julius Holaus
language : en
Publisher: GRIN Verlag
Release Date : 2019-06-24
Artificial Intelligence In Healthcare An Analysis Of The Link Of Ai To Health Promotion And Prevention Programs To Face And Early Detect Non Communicable Diseases written by Julius Holaus and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-24 with Health & Fitness categories.
Seminar paper from the year 2019 in the subject Health - Miscellaneous, grade: 2,00, Management Center Innsbruck, language: English, abstract: The global challenge against non-communicable diseases gained transnational attention over the last years. Statistics illustrate, that approximately 70% of all deaths worldwide can be traced back to chronic diseases. On the other hand, artificial intelligence is on the rise as the number of implemented software featuring machine-learning skills increased tremendously in the last years. Therefore, the purpose of this literature review is to combine those aspects in order to create synergies of the link between existing approaches with the aim to face non-communicable diseases and artificial intelligence. The review focusses firstly specifically only on the most prevalent NCDs and their characteristics before analysing the rise of machine-learning software from the very beginning. In a next step, those two fields will be combined with the aim to point out both benefits and risks when implementing AI in the healthcare sector. The outcome was, that the use of such software would definitely cut a three-digit number of billions of Euros of spending on healthcare due to the possibility to early-detect diseases and the hereby arising possibility to treat patients in a more efficient way as until now. On the other hand, the biggest risk will be, that artificial intelligence works on huge datasets that need to be set up first – during the setting up process of such data, failures can take place which would have a grave impact on further use.
Big Data Analytics And Intelligence
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Author : Poonam Tanwar
language : en
Publisher: Emerald Group Publishing
Release Date : 2020-09-30
Big Data Analytics And Intelligence written by Poonam Tanwar and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-30 with Business & Economics categories.
Big Data Analytics and Intelligence is essential reading for researchers and experts working in the fields of health care, data science, analytics, the internet of things, and information retrieval.
Leveraging Data Science For Global Health
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Author : Leo Anthony Celi
language : en
Publisher: Springer Nature
Release Date : 2020-07-31
Leveraging Data Science For Global Health written by Leo Anthony Celi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-31 with Medical categories.
This open access book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources. Developing countries are uniquely prone to large-scale emerging infectious disease outbreaks due to disruption of ecosystems, civil unrest, and poor healthcare infrastructure – and without comprehensive surveillance, delays in outbreak identification, resource deployment, and case management can be catastrophic. In combination with context-informed analytics, students will learn how non-traditional digital disease data sources – including news media, social media, Google Trends, and Google Street View – can fill critical knowledge gaps and help inform on-the-ground decision-making when formal surveillance systems are insufficient.
Big Data In Psychiatry And Neurology
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Author : Ahmed Moustafa
language : en
Publisher: Academic Press
Release Date : 2021-06-11
Big Data In Psychiatry And Neurology written by Ahmed Moustafa and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-11 with Medical categories.
Big Data in Psychiatry and Neurology provides an up-to-date overview of achievements in the field of big data in Psychiatry and Medicine, including applications of big data methods to aging disorders (e.g., Alzheimer’s disease and Parkinson’s disease), mood disorders (e.g., major depressive disorder), and drug addiction. This book will help researchers, students and clinicians implement new methods for collecting big datasets from various patient populations. Further, it will demonstrate how to use several algorithms and machine learning methods to analyze big datasets, thus providing individualized treatment for psychiatric and neurological patients. As big data analytics is gaining traction in psychiatric research, it is an essential component in providing predictive models for both clinical practice and public health systems. As compared with traditional statistical methods that provide primarily average group-level results, big data analytics allows predictions and stratification of clinical outcomes at an individual subject level. Discusses longitudinal big data and risk factors surrounding the development of psychiatric disorders Analyzes methods in using big data to treat psychiatric and neurological disorders Describes the role machine learning can play in the analysis of big data Demonstrates the various methods of gathering big data in medicine Reviews how to apply big data to genetics
Global Status Report On Noncommunicable Diseases 2010
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Author : World Health Organization
language : en
Publisher:
Release Date : 2011
Global Status Report On Noncommunicable Diseases 2010 written by World Health Organization and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Medical categories.
"This report sets out the statistics, evidence and experiences needed to launch a more forceful response to the growing threat posed by noncommunicable diseases. While advice and recommendations are universally relevant, the report gives particular attention to conditions in low- and middle-income countries, which now bear nearly 80% of the burden from diseases like cardiovascular disease, diabetes, cancer and chronic respiratory diseases. The health consequences of the worldwide epidemic of obesity are also addressed. The report takes an analytical approach, using global, regional and country-specific data to document the magnitude of the problem, project future trends, and assess the factors contributing to these trends. As noted, the epidemic of these diseases is being driven by forces now touching every region of the world: demographic aging, rapid unplanned urbanization, and the globalization of unhealthy lifestyles"--Publisher's description.
Artificial Intelligence In Healthcare
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Author : Adam Bohr
language : en
Publisher: Academic Press
Release Date : 2020-06-21
Artificial Intelligence In Healthcare written by Adam Bohr and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-21 with Computers categories.
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
Artificial Intelligence For Healthy Longevity
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Author : Alexey Moskalev
language : en
Publisher: Springer Nature
Release Date : 2023-07-07
Artificial Intelligence For Healthy Longevity written by Alexey Moskalev and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-07 with Science categories.
This book reviews the state-of-the-art efforts to apply machine learning and AI methods for healthy aging and longevity research, diagnosis, and therapy development. The book examines the methods of machine learning and their application in the analysis of big medical data, medical images, the creation of algorithms for assessing biological age, and effectiveness of geroprotective medications. The promises and challenges of using AI to help achieve healthy longevity for the population are manifold. This volume, written by world-leading experts working at the intersection of AI and aging, provides a unique synergy of these two highly prominent fields and aims to create a balanced and comprehensive overview of the application methodology that can help achieve healthy longevity for the population. The book is accessible and valuable for specialists in AI and longevity research, as well as a wide readership, including gerontologists, geriatricians, medical specialists, and students from diverse fields, basic scientists, public and private research entities, and policy makers interested in potential intervention in degenerative aging processes using advanced computational tools.
Public Health In Developing Countries
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Author : Edlyne Eze Anugwom
language : en
Publisher: BoD – Books on Demand
Release Date : 2020-09-09
Public Health In Developing Countries written by Edlyne Eze Anugwom and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-09 with Medical categories.
Public health entails the use of models, technologies, experience and evidence derived through consumer participation, translational research and population sciences to protect and improve the health of the population. Enhancing public health is of significant importance to the development of a nation, particularly for developing countries where the health care system is underdeveloped, fragile or vulnerable.This book examines progress and challenges with regards to public health in developing countries in two parts: Part 1 “General and Crosscutting Issues in Public Health and Case Studies” and Part 2 “Country-Specific Issues in Public Health.” For example, assuring equity for marginalized indigenous groups and other key populations entails the application of transdisciplinary interventions including legislation, advocacy, financing, empowerment and de-stigmatization. The diverse structural, political, economic, technological, geographical and social landscape of developing countries translates to unique public health challenges, infrastructure and implementation trajectories in addressing issues such as vector-borne diseases and intimate partner violence.This volume will be of interest to researchers, health ministry policy makers, public health professionals and non-governmental organizations whose work entails collaborations with public health systems of developing nations and regions.
Ai And Big Data S Potential For Disruptive Innovation
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Author : Strydom, Moses
language : en
Publisher: IGI Global
Release Date : 2019-09-27
Ai And Big Data S Potential For Disruptive Innovation written by Strydom, Moses and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-27 with Computers categories.
Big data and artificial intelligence (AI) are at the forefront of technological advances that represent a potential transformational mega-trend—a new multipolar and innovative disruption. These technologies, and their associated management paradigm, are already rapidly impacting many industries and occupations, but in some sectors, the change is just beginning. Innovating ahead of emerging technologies is the new imperative for any organization that aspires to succeed in the next decade. Faced with the power of this AI movement, it is imperative to understand the dynamics and new codes required by the disruption and to adapt accordingly. AI and Big Data’s Potential for Disruptive Innovation provides emerging research exploring the theoretical and practical aspects of successfully implementing new and innovative technologies in a variety of sectors including business, transportation, and healthcare. Featuring coverage on a broad range of topics such as semantic mapping, ethics in AI, and big data governance, this book is ideally designed for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research on the production of new and innovative mechanization and its disruptions.